Conference articles

1. Théodore Soulier, Mariem Hamzaoui, Milena Sales Pitombeira, Daniele De Paula Faria, Arya Yazdan-Panah, Matteo Tonietto, Claire Leroy, Michel Bottlaender, Benedetta Bodini, Ninon Burgos, Nicholas Ayache, Olivier Colliot, and Bruno Stankoff. Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks. In SPIE Medical Imaging, San Diego, United States, February 2024. Keyword(s): Multiple Sclerosis, Magnetic Resonance Imaging, Positron Emission Tomography, Myelin, Generative Adversarial Network, Curriculum Learning, Image synthesis. [bibtex-entry]

1. Morten Akhoj, Xavier Pennec, and Stefan Sommer. Tangent phylogenetic PCA. In Scandinavian Conference on Image Analysis 2023, volume 13886 of Lecture Notes in Computer Science, Levi Ski Resort (Lapland), Finland, pages 77-90, April 2023. Springer Nature Switzerland. [bibtex-entry]



2. Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment. In 2023 Computing in Cardiology (CinC), 2023 Computing in Cardiology (CinC), Atlanta (GA), United States, October 2023. Keyword(s): Causal discovery, Drug safety, Ions channel, TdP risk. [bibtex-entry]



3. Anna Calissano, Elodie Maignant, and Xavier Pennec. Towards Quotient Barycentric Subspaces. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo (France), France, pages 366-374, August 2023. Springer Nature Switzerland. Keyword(s): Discrete Group, Quotient Space, Barycentric Subspace Analysis, Graph Space, Object Oriented Data Analysis. [bibtex-entry]



4. Nicolas Cedilnik and Jean-Marc Peyrat. Weighted tissue thickness. In FIMH 2023 - 12th International Conference On Functional Imaging And Modeling Of The Heart, Lecture Notes in Computer Science, Lyon, France, June 2023. Springer. Keyword(s): Thickness, Thickness measurements, Medical image analysis. [bibtex-entry]



5. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Joint representation learning from french radiological reports and ultrasound images. In IEEE ISBI 2023 - International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, April 2023. IEEE. Keyword(s): multimodal learning deep clustering natural language processing ultrasound examinations kidneys, multimodal learning, deep clustering, natural language processing, ultrasound examinations, kidneys. [bibtex-entry]



6. Zhijie Fang, Hervé Delingette, and Nicholas Ayache. Anatomical Landmark Detection for Initializing US and MR Image Registration. In MICCAI ASMUS 2023 - 4th International Workshop of Advances in Simplifying Medical UltraSound - a workshop held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, Canada, October 2023. Keyword(s): Landmark detection, Image-guided intervention, Convolutional neural network and Prostate cancer. [bibtex-entry]



7. Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sebastien Ourselin, and Marco Lorenzi. Validation of Federated Unlearning on Collaborative Prostate Segmentation. In DECAF MICCAI 2023 Workshops, volume 14393 of Lecture Notes in Computer Science, Toronto, Canada, pages 322-333, October 2023. Medical Image Computing and Computer Assisted Intervention, Springer Nature Switzerland. Keyword(s): federated unlearning, prostate cancer, segmentation, Medical imaging. [bibtex-entry]



8. Etrit Haxholli and Marco Lorenzi. Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows. In DLDE-III Workshop in the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, United States, December 2023. [bibtex-entry]



9. Etrit Haxholli and Marco Lorenzi. Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching. In NeurIPS 2023 Workshop on Diffusion Models, New Orleans, Louisiana, United States, December 2023. [bibtex-entry]



10. Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sebastien Ourselin, and Marco Lorenzi. Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. In ECML - PharML - Applications of Machine Learning in Pharma and Healthcare (Workshop at ECML PKDD 2023), Turin (IT), Italy, September 2023. arXiv. Note: Workshop at ECML PKDD 2023. Keyword(s): Collaborative Learning, Cost-Effectiveness, Prostate Segmentation. [bibtex-entry]



11. Elodie Maignant, Alain Trouvé, and Xavier Pennec. Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo, (France), France, pages 12-20, August 2023. Springer Nature Switzerland. Keyword(s): Locally Linear Embedding, Optimisation on Quotient Manifolds, Shape Spaces. [bibtex-entry]



12. Hari Sreedhar, Guillaume P R Lajoinie, Charles Raffaelli, and Hervé Delingette. Active Learning Strategies on a Real-World Thyroid Ultrasound Dataset. In DALI 2023 - Data Augmentation, Labelling, and Imperfections / MICCAI Workshop 2023, MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2023, held in conjunction with MICCAI 2023 Proceedings, Vancouver, Canada, October 2023. Keyword(s): Thyroid cancer, Active learning, Ultrasound imaging. [bibtex-entry]



13. Tom Szwagier and Xavier Pennec. Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo, (France), France, pages 375-383, August 2023. Springer Nature Switzerland. Keyword(s): Flag manifolds, Riemannian logarithm, Orthogonal alignment, Procrustes analysis, Flag manifolds Riemannian logarithm Orthogonal alignment Procrustes analysis. [bibtex-entry]



14. Yann Thanwerdas and Xavier Pennec. Characterization of Invariant Inner Products. In GSI 2023 - International Conference on Geometric Science of Information, volume LNCS-14071 of Geometric Science of Information: 6th International Conference, GSI 2023, St. Malo, France, August 30 -- September 1, 2023, Proceedings, Part I, Saint Malo, France, France, pages 384-391, August 2023. Springer Nature Switzerland. Keyword(s): Invariant inner product Invariant Riemannian metric Group action Representation theory, Invariant inner product, Invariant Riemannian metric, Group action, Representation theory. [bibtex-entry]



15. Yingyu Yang and Maxime Sermesant. Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation. In FIMH 2023 - The 12th International Conference on Functional Imaging and Modeling of The Heart, Lyon, France, June 2023. Keyword(s): Motion Estimation Echocardiography Polyaffine Transformation, Motion Estimation, Echocardiography, Polyaffine Transformation. [bibtex-entry]

1. Yann Fraboni, Richard Vidal, Laetitia Kameni, and Marco Lorenzi. A General Theory for Client Sampling in Federated Learning. In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22), Vienna, Austria, July 2022. [bibtex-entry]



2. Dimitri Hamzaoui, Sarah Montagne, Raphaele Renard-Penna, Nicholas Ayache, and Hervé Delingette. MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation. In MICCAI Workshop UNSURE 2022: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Singapore, Singapore, September 2022. Keyword(s): Consensus Algorithm, Segmentation 2D et 3D, Jaccard distance, STAPLE. [bibtex-entry]



3. Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, and Maxime Sermesant. Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. In MIDL 2022 - Medical Imaging with Deep Learning, Zurich, Switzerland, July 2022. Keyword(s): Electrophysiology, Deep learning, Simulations, Physics-based learning. [bibtex-entry]



4. Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, and Maxime Sermesant. APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics. In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Singapore, Singapore, September 2022. Keyword(s): Physics-based learning Deep Learning Electrophysiology Simulations, Physics-based learning, Deep Learning, Electrophysiology, Simulations. [bibtex-entry]



5. Huiyu Li, Nicholas Ayache, and Hervé Delingette. Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?. In Springer Nature, editor, DeCaF 2022 - International Workshop on Distributed, Collaborative, and Federated Learning, volume LNCS - 13573 of Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings, Singapore, Singapore, September 2022. Note: Best Paper Award. Keyword(s): Data Stealing Attack, Privacy, Medical Images. [bibtex-entry]



6. Buntheng Ly, Sonny Finsterbach, Marta Nuñez-Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, and Maxime Sermesant. Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network. In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Singapore, Singapore, September 2022. Keyword(s): Graph Neural Network, Ventricular Arrhythmia, Interpretable AI, Cardiac CT. [bibtex-entry]



7. Riccardo Taiello, Melek Önen, Olivier Humbert, and Marco Lorenzi. Privacy Preserving Image Registration. In MICCAI 2022 - Medical Image Computing and Computer Assisted Intervention, Singapore, Singapore, September 2022. Keyword(s): Image Registration, Privacy enhancing technologies, Trustworthiness. [bibtex-entry]



8. Jean Ogier Du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, and Mathieu Andreux. FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. In NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Proceedings of NeurIPS, New Orleans, United States, November 2022. [bibtex-entry]



9. Zihao Wang, Yingyu Yang, Maxime Sermesant, and Hervé Delingette. Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): Unsupervised Registration, MLP, Transformer, Echocardiography. [bibtex-entry]



10. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): ECG analysis, Reconstruction, Explainable ML, Myocardial infarction classification. [bibtex-entry]

1. Benoît Audelan, Lopez Stéphanie, Pierre Fillard, Yann Diascorn, Bernard Padovani, and Hervé Delingette. Validation of lung nodule detection a year before diagnosis in NLST dataset based on a deep learning system. In ERS 2021 - European Respiratory Society International Congress, Virtual, United Kingdom, September 2021. [bibtex-entry]



2. Irene Balelli, Santiago Silva, and Marco Lorenzi. A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. In International Conference on Information Processing in Medical Imaging, Information processing in medical imaging: proceedings of the 27th International Conference, IPMI 2021, Bornholm, Denmark, June 2021. Keyword(s): Federated Learning, Hierarchical Generative Model, Heterogeneity. [bibtex-entry]



3. Francisco J Burgos-Fernández, Buntheng Ly, Fernando Dìaz-Doutón, Meritxell Vilaseca, Jaume Pujol, and Maxime Sermesant. Automatic classification of multispectral eye fundus images using deep learning. In Libro de Resúmenes RNO2021, Online, Spain, November 2021. [bibtex-entry]



4. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images. In ISBI 2021 - 18th IEEE International Symposium on Biomedical Imaging, Nice, France, April 2021. Keyword(s): Ultrasound imaging, Deep Learning, Ultrasound fan area detection, pre-processing. [bibtex-entry]



5. Gaëtan Desrues, Delphine Feuerstein, Thierry Legay, Serge Cazeau, and Maxime Sermesant. Personal-by-design: a 3D Electromechanical Model of the Heart Tailored for Personalisation. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Stanford, CA, United States, June 2021. Keyword(s): Personalisation, Digital twin, Cardiac electromechanical model, Electrophysiology, Electrocardiogram. [bibtex-entry]



6. Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, and Nicolas Duchateau. Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lectune notes in computer science (LNCS), Stanford, United States, pages 223-231, June 2021. Springer. Keyword(s): Cardiac imaging, manifold learning, myocardial strain, heart shape. [bibtex-entry]



7. Yann Fraboni, Richard Vidal, Laetitia Kameni, and Marco Lorenzi. Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. In ICML 2021 - 38th International Conference on Machine Learning, online, United States, July 2021. Keyword(s): Client sampling, federated learning, sampling variance, data representativity. [bibtex-entry]



8. Yann Fraboni, Richard Vidal, and Marco Lorenzi. Free-rider Attacks on Model Aggregation in Federated Learning. In AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics, San Diego, United States, April 2021. [bibtex-entry]



9. Nicolas Guigui, Elodie Maignant, Alain Trouvé, and Xavier Pennec. Parallel Transport on Kendall Shape Spaces. In GSI 2021 - 5th conference on Geometric Science of Information, volume 12829 of Lecture Notes in Computer Science, Paris, France, pages 103-110, July 2021. Springer. [bibtex-entry]



10. Nicolas Guigui, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Cardiac Motion Modeling with Parallel Transport and Shape Splines. In ISBI 2021 - 18th IEEE International Symposium on Biomedical Imaging, IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Nice, France, pages pp. 1394-1397, April 2021. IEEE. Keyword(s): LDDMM, Cardiac Modelling, Shape Analysis. [bibtex-entry]



11. Nicolas Guigui and Xavier Pennec. A reduced parallel transport equation on Lie Groups with a left-invariant metric. In GSI 2021 - 5th conference on Geometric Science of Information, volume 12829 of Lecture Notes in Computer Science, Paris, France, pages 119-126, July 2021. Springer, Cham. [bibtex-entry]



12. Mariem Hamzaoui, Théodore Soulier, Arya Yazdan-Panah, Marius Schmidt- Mengin, Olivier Colliot, Nicholas Ayache, and Bruno Stankoff. Intensity based Regions Of Interest (ROIs) preselection followed by Convolutional Neuronal Network (CNN) based segmentation for new lesions detection in Multiple Sclerosis. In MICCAI 2021 MSSEG2 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention - Challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure - MICCAI-MSSEG-2, Strasbourg, France, September 2021. Keyword(s): Classical image processing, CNNs, Hybrid approach. [bibtex-entry]



13. Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, and Maxime Sermesant. Phase-independent Latent Representation for Cardiac Shape Analysis. In MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, volume 12906 of LNCS - Lecture Notes in Computer Science, Strasbourg, France, September 2021. Keyword(s): Shape Analysis, Atrial Fibrillation, Thrombosis, Graph Representation, Latent Space Model, Multi-Task Learning, Meta-Learning. [bibtex-entry]



14. Florent Jousse, Xavier Pennec, Hervé Delingette, and Matilde Gonzalez. Geodesic squared exponential kernel for non-rigid shape registration. In FG 2021 - IEEE International Conference on Automatic Face and Gesture Recognition, JODHPUR, India, December 2021. [bibtex-entry]



15. Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, and Maxime Sermesant. EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lecture Notes in Computer Science, Stanford, CA (virtual), United States, pages 482-492, June 2021. Springer International Publishing. Keyword(s): Electrophysiology, Deep learning, Simulation. [bibtex-entry]



16. Buntheng Ly, Sonny Finsterbach, Marta Nuñez-Garcia, Hubert Cochet, and Maxime Sermesant. Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, volume 12738 of Lecture Notes in Computer Science, Stanford, United States, pages 461-470, June 2021. Springer International Publishing. Keyword(s): Conditional-VAE, Sustained Ventricular Arrhythmia, CTcardiac imaging, Myocardium thickness, Image Classification. [bibtex-entry]



17. Marius Schmidt-Mengin, Arya Yazdan-Panah, Théodore Soulier, Mariem Hamzaoui, Nicholas Ayache, and Olivier Colliot. Segmentation of new multiple sclerosis lesions on FLAIR MRI using online hard example mining. In MICCAI-MSSEG-2 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention - challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure, Strasbourg, France, September 2021. Keyword(s): Segmentation, Deep learning, Hard example mining, Multiple Sclerosis, MRI. [bibtex-entry]



18. Yann Thanwerdas and Xavier Pennec. Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices. In GSI 2021 - 5th conference on Geometric Science of Information, volume 12829 of Proceedings of Geometric Science of Information, Paris, France, pages 93-102, July 2021. Springer, Cham. Keyword(s): Correlation matrices, SPD matrices, Quotient manifold, Quotient-affine metric, Riemannian geometry. [bibtex-entry]



19. Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, and Hervé Delingette. Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset. In MICCAI 2021 - Workshop on Computational Pathology, volume 156 of Proceedings of Machine Learning Research, Strasbourg, France, pages 216-226, September 2021. PMLR. Keyword(s): Attention Mechanism, Mixed Supervision, Histopathology. [bibtex-entry]



20. Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, and Hervé Delingette. One-shot Learning Landmarks Detection. In MICCAI 2021 - Workshop on Data Augmentation, Labeling, and Imperfections, volume 13003 of Lecture Notes in Computer Science (LNCS), strasbourg, France, pages 163-172, October 2021. Springer. [bibtex-entry]



21. Yingyu Yang and Maxime Sermesant. Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis. In FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Stanford, United States, June 2021. Keyword(s): Segmentation, Deep Learning, Deformation, Echocardiography. [bibtex-entry]

1. Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, and Hervé Delingette. Robust Fusion of Probability Maps. In MICCAI 2020 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Lima/ Virtuel, Peru, October 2020. [bibtex-entry]



2. Jaume Banus, Maxime Sermesant, Oscar Camara, and Marco Lorenzi. Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. In MICCAI 2020 - 23th International Conference on Medical Image Computing and Computer Assisted Intervention, Lima / Virtual, Peru, pages 478-486, October 2020. Keyword(s): Gaussian Process, Variational Inference, Lumped model, Missing features, Biomechanical simulation. [bibtex-entry]



3. Emmanuel Chevallier and Nicolas Guigui. Wrapped statistical models on manifolds: motivations, the case SE(n), and generalization to symmetric spaces. In Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning, Les Houches, France, July 2020. Keyword(s): Non-Euclidean statistics, wrapped distributions, exponential map, moment matching estimator. [bibtex-entry]



4. Dimitri Hamzaoui, Sarah Montagne, Pierre Mozer, Raphaële Renard-Penna, and Hervé Delingette. Segmentation automatique de la prostate à l'aide d'un réseau de neurones profond. In Congrès Francais d'Urologie, Paris, France, pages 696-697, November 2020. [bibtex-entry]



5. Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan Holmes, and Xavier Pennec. Introduction to Geometric Learning in Python with Geomstats. In Meghann Agarwal, Chris Calloway, Dillon Niederhut, and David Shupe, editors, SciPy 2020 - 19th Python in Science Conference, Austin, Texas, United States, pages 48-57, July 2020. Keyword(s): Index Terms-differential geometry, statistics, manifold, machine learning. [bibtex-entry]



6. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, Sébastien Hascoet, D Baudouy, Emile Ferrari, and Maxime Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In JESFC 2020 - 30es Journées Européennes de la Société Française de Cardiologie, volume 12 of Archives of Cardiovascular Diseases Supplements, Paris, France, pages 163-4, January 2020. [bibtex-entry]



7. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, and Maxime Sermesant. Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Post-infarct cardiac remodeling, Ventricular arrhythmia, Cross-sectional data, Disease progression modeling. [bibtex-entry]



8. Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Maxime Sermesant, and Hubert Cochet. Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view. In STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart, Lima, Peru, pages p.108-116, October 2020. Keyword(s): Automatic image reformatting, Short-axis view, Deep learning segmentation, Cardiac imaging. [bibtex-entry]



9. Fanny Orlhac, Thibaut Cassou-Mounat, Jean-Yves Pierga, Marie Luporsi, Christophe Nioche, Charles Bouveyron, Nicholas Ayache, Nina Jehanno, Alain Livartowski, and Irene Buvat. Can we identify ''twin patients'' to predict response to neoadjuvant chemotherapy in breast cancer?. In SNMMI Annual Meeting, Virtual Meeting, United States, July 2020. [bibtex-entry]



10. Fanny Orlhac, Anne-Capucine Rollet, Irène Buvat, Jacques Darcourt, Véronique Bourg, Christophe Nioche, Charles Bouveyron, Nicholas Ayache, and Olivier Humbert. Identifying a reliable radiomic signature from scarce data: illustration for 18F-FDOPA PET images in glioblastoma patients. In EANM Annual Meeting - Annual Meeting of the European Association of Nuclear Medicine, Virtual Meeting, Austria, October 2020. [bibtex-entry]



11. Santiago Silva, Andre Altmann, Boris Gutman, and Marco Lorenzi. Fed-BioMed: A general open-source frontendframework for federated learning in healthcare. In MICCAI 2020 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention - 1st Workshop on Distributed and Collaborative Learning, DCL: MICCAI Workshop on Distributed and Collaborative Learning, Lima/ Virtuel, Peru, pages 201-210, October 2020. Springer. Keyword(s): federated learning, healthcare, medical imaging. [bibtex-entry]



12. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. A Deep Learning based Fast Signed Distance Map Generation. In MIDL 2020 - Medical Imaging with Deep Learning, Montréal, Canada, July 2020. [bibtex-entry]

1. Luigi Antelmi, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. In ICML 2019 - 36th International Conference on Machine Learning, Long Beach, United States, June 2019. [bibtex-entry]



2. Benoît Audelan and Hervé Delingette. Unsupervised Quality Control of Image Segmentation based on Bayesian Learning. In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, October 2019. Keyword(s): Image segmentation, Bayesian learning, Quality control. [bibtex-entry]



3. Nicholas Ayache. AI and Healthcare: towards a Digital Twin?. In 5th International Symposium on Multidiscplinary Computational Anatomy, Fukuoka, Japan, March 2019. Note: Talk given by M. Nicholas Ayache at the MCA 2019. [bibtex-entry]



4. Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, and Maxime Sermesant. EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions. In FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth, Bordeaux, France, pages 55-63, June 2019. Springer. [bibtex-entry]



5. Tania Bacoyannis, Julian Krebs, Nicolas Cedilnik, Hubert Cochet, and Maxime Sermesant. Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, volume LNCS 11504, Bordeaux, France, pages 20-28, June 2019. Springer. Keyword(s): ECGI, Deep learning, Generative Model, Simulation. [bibtex-entry]



6. Jaume Banus, Marco Lorenzi, Oscar Camara, and Maxime Sermesant. Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, pages 285-293, June 2019. [bibtex-entry]



7. Nicolas Cedilnik, Josselin Duchateau, Frederic Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging. In FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, pages 325-333, June 2019. Keyword(s): Model Personalisation, Segmentation, Deep learning, Imaging. [bibtex-entry]



8. Nicolas Cedilnik, Shuman Jia, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatic non-invasive substrate analysis from CT images in post-infarction VT. In EHRA 2019 - European Heart Rhythm Association, volume 21, Lisbonne, Portugal, pages 720-739, March 2019. [bibtex-entry]



9. Nicolas Cedilnik and Maxime Sermesant. Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzen, China, October 2019. Keyword(s): Electrophysiology, Computer model, Personalisation, Cardiac resynchronisation therapy. [bibtex-entry]



10. Gaëtan Desrues, Hervé Delingette, and Maxime Sermesant. Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation. In STACOM 2019: Statistical Atlases and Computational Models of the Heart, Shenzhen, China, October 2019. [bibtex-entry]



11. Sara Garbarino and Marco Lorenzi. Modeling and inference of spatio-temporal protein dynamics across brain networks. In IPMI 2019 - International Conference on Information Processing in Medical Imaging, volume 11492 of Lecture Notes in Computer Science book series, Hong Kong, Hong Kong SAR China, pages 57-69, June 2019. springer. Note: Bayesian non--parametric model, protein propagation, Alzheimer'sdisease, Gaussian process, dynamical systems, spatio--temporal model, disease progression modeling. [bibtex-entry]



12. Nicolas Guigui, Shuman Jia, Maxime Sermesant, and Xavier Pennec. Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. In GSI 2019 - 4th conference on Geometric Science of Information, volume Lecture Notes in Computer Science 11712 of Proceedings of Geometric Science of Information, Toulouse, France, pages 759-768, August 2019. F. Nielsen and F. Barbaresco, Springer. Keyword(s): Symmetric Spaces, Parallel Transport, Shape Registration. [bibtex-entry]



13. Julian Krebs, Tommaso Mansi, Nicholas Ayache, and Hervé Delingette. Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Note: Probabilistic Motion Model, Motion Tracking, Temporal Super-Resolution, Diffeomorphic Registration, Temporal Variational Autoencoder. [bibtex-entry]



14. Georgios Lazaridis, Marco Lorenzi, Sebastien Ourselin, and David Garway-Heath. Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. In MICAI 2019 - 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, volume LNCS. LNIP - 11764 of Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019, Shenzhen, China, pages 3-11, October 2019. Springer International Publishing. [bibtex-entry]



15. Alexandre Legay, Thomas Tiennot, Jean-François Gelly, Maxime Sermesant, and Jean Bulté. End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality. In STACOM 2019 - 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, volume LNCS. LNIP - 12009 of Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, Shenzhen, China, pages 167-175, October 2019. Springer International Publishing. Keyword(s): Ultrasound, Cardiac Modelling, Probe Design, Image Quality. [bibtex-entry]



16. Buntheng Ly, Hubert Cochet, and Maxime Sermesant. Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI. In STACOM 2019 - 10th Workhop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Keyword(s): Deep Learning, Image segmentation, Cardiac Magnetic Resonance Imaging, Multi-modality, Late Gadolinium Enhanced. [bibtex-entry]



17. R azvan Marinescu, Marco Lorenzi, Stefano Blumberg, Alexandra Young, Pere Planell-Morell, Neil Oxtoby, Arman Eshaghi, Keir Yong, Sebastian Crutch, Polina Golland, and Daniel Alexander. Disease Knowledge Transfer Across Neurodegenerative Diseases. In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, volume LNCS. LNIP - 11765 of Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019, Shenzhen, China, pages 860-868, October 2019. Springer International Publishing. [bibtex-entry]



18. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Céline Sanfiorenzo, Fabien Squara, Emile Ferrari, and Maxime Sermesant. Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension. In JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Paris, France, January 2019. [bibtex-entry]



19. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Emile Ferrari, and Maxime Sermesant. 3D right ventricular strain and shape in volume overload: comparative analysis of Tetralogy of Fallot and atrial septal defect patients. In JE SFC 2019 - 29es Journées Européennes de la Société Française de Cardiologie, Paris, France, January 2019. [bibtex-entry]



20. Yann Thanwerdas and Xavier Pennec. Exploration of Balanced Metrics on Symmetric Positive Definite Matrices. In GSI 2019 - 4th conference on Geometric Science of Information, volume Lecture Notes in Computer Science 11712 of Proceedings of Geometric Science of Information, Toulouse, France, pages 484-493, August 2019. Springer. Keyword(s): Dually flat connections, SPD matrices, Information geometry. [bibtex-entry]



21. Yann Thanwerdas and Xavier Pennec. Is affine invariance well defined on SPD matrices? A principled continuum of metrics. In GSI 2019 - 4th conference on Geometric Science of Information, volume Lecture Notes in Computer Science 11712 of Proceedings of Geometric Science of Information, Toulouse, France, pages 502-510, August 2019. Springer. Keyword(s): SPD matrices, Riemannian symmetric spaces. [bibtex-entry]



22. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging. In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, pages 121-129, October 2019. Keyword(s): Metal Artifacts Reduction, Generative adversarial networks. [bibtex-entry]



23. Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, and Hervé Delingette. Robust Cochlear Modiolar Axis Detection in CT. In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science, Shenzhen, China, pages 3-10, October 2019. Keyword(s): Approximate maximum like-lihood, Natural growth, Kinematic surface recognition. [bibtex-entry]



24. Yingyu Yang, Stephane Gillon, Jaume Banus, Pamela Moceri, and Maxime Sermesant. Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?. In STACOM 2019 - 10th Workshop on Statistical Atlases and Computational Modelling of the Heart, Shenzhen, China, October 2019. Keyword(s): Cardiac modelling, Machine learning, Pulmonary hypertension. [bibtex-entry]

1. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. In Machine Learning in Clinical Neuroimaging (MLCN) workshop, Granada, Spain, September 2018. Keyword(s): Alzheimer's Disease, Disease Progression Modelling, Gaussian Process. [bibtex-entry]



2. Luigi Antelmi, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. In Understanding and Interpreting Machine Learning in Medical Image Computing Applications, volume 11038 of LNCS, Granada, Spain, pages 15-23, September 2018. [bibtex-entry]



3. Bidisha Chakraborty, Sophie Giffard-Roisin, Martino Alessandrini, Brecht Heyde, M Sermesant, and Jan d'Hooge. Estimation of the Spatial Resolution of a 2D Strain Estimator Using Synthetic Cardiac Images. In IUS 2018 - IEEE International Ultrasonics Symposium, Kobe, Japan, pages 1-9, October 2018. IEEE. [bibtex-entry]



4. Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. In STACOM: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, volume 11395 of LNCS, Granada, Spain, pages 221-229, September 2018. Keyword(s): distance map, ensemble prediction, loss function, contour loss, left atrium, deep learning, segmentation, 3D U-Net. [bibtex-entry]



5. Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, and Xavier Pennec. Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. In Shape in Medical Imaging. ShapeMI 2018., volume 11167 of LNCS, Granada, Spain, pages 116-124, September 2018. Springer. [bibtex-entry]



6. Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, and Hervé Delingette. Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. In Deep Learning in Medical Image Analysis (MICCAI workshop), Granada, Spain, September 2018. Keyword(s): Image registration, Deep learning, Medical imaging analysis. [bibtex-entry]



7. Marco Lorenzi and Maurizio Filippone. Constraining the Dynamics of Deep Probabilistic Models. In ICML 2018 - The 35th International Conference on Machine Learning, volume 80 of PMLR - Proceedings of Machine Learning Research, Stockholm, Sweden, pages 3233-3242, July 2018. Note: 13 pages. Keyword(s): machine learning, dynamical systems, gradient matching, gaussian process. [bibtex-entry]



8. Pamela Moceri, Nicolas Duchateau, D Baudouy, C Sanfiorenzo, F Squara, E. Ferrari, and M Sermesant. Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension. In ESC congress, Munich, Germany, 2018. [bibtex-entry]



9. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Fabien Squara, Emile Ferrari, and M Sermesant. Volume overload impact on 3D right ventricular shape and strain: comparative analysis of tetralogy of Fallot and atrial septal defect patients. In ESC congress, Munich, Germany, 2018. [bibtex-entry]



10. Pamela Moceri, Nicolas Duchateau, N Dursent, Xavier Iriart, Sébastien Hascoet, Delphine Baudouy, Emile Ferrari, and M Sermesant. Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking. In EuroEcho 2018 - 22nd Annual Congressof the European Association of Cardiovascular Imaging, Milan, Italy, December 2018. [bibtex-entry]



11. Pamela Moceri, Nicolas Duchateau, Benjamin Sartre, M Sermesant, and Emile Ferrari. Right ventricular function in acute pulmonary embolism: a three-dimensional strain study. In Euroecho, Milan, Italy, 2018. [bibtex-entry]



12. Fanny Orlhac, Charles Bouveyron, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Olivier Humbert. Identification des cancers mammaires triple-négatifs : analyse statistique de variables radiomiques issues des images TEP et de variables métabolomiques. In 2018 - 4èmes Journées Francophones de Médecine Nucléaire, volume 42 of Médecine Nucléaire, Lille, France, pages 169, May 2018. Keyword(s): Analyse de texture, Cancer du sein, Hétérogénéité tumorale, Traitement des images, Triple-négatif. [bibtex-entry]



13. Fanny Orlhac, Olivier Humbert, Sarah Boughdad, Maud Lasserre, Michael Soussan, Christophe Nioche, Nicholas Ayache, Jacques Darcourt, Frédérique Frouin, and Irène Buvat. Validation d'une méthode d'harmonisation des mesures SUV et des variables radiomiques pour les études TEP multicentriques rétrospectives. In 2018 - 4èmes Journées Francophones de Médecine Nucléaire, volume 42, Lille, France, pages 170, May 2018. Keyword(s): Etude multicentrique, Normalisation, Quantification, Analyse de texture, Hétérogénéité tumorale. [bibtex-entry]



14. Fanny Orlhac, Olivier Humbert, Sarah Boughdad, Maud Lasserre, Michael Soussan, Christophe Nioche, Nicholas Ayache, Jacques Darcourt, Frédérique Frouin, and Irène Buvat. Validation of a harmonization method to correct for SUV and radiomic features variability in multi-center studies. In SNMMI Annual Meeting, volume 59, Philadelphia, United States, pages 288, June 2018. [bibtex-entry]



15. Fanny Orlhac, Olivier Humbert, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Charles Bouveyron. Analyse statistique de données radiomiques et métabolomiques : prédiction des lésions mammaires triple-négatives. In 12ème Conférence Francophone d'Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), volume 66 of Revue d'épidémiologie et de santé publique, Nice, France, pages S180-S181, May 2018. Keyword(s): Métabolomique, Analyse statistique, Analyse discriminante, Sélection de variables, Radiomique. [bibtex-entry]



16. Fanny Orlhac, Olivier Humbert, Thierry Pourcher, Lun Jing, Jean-Marie Guigonis, Jacques Darcourt, Nicholas Ayache, and Charles Bouveyron. Statistical analysis of PET radiomic features and metabolomic data: prediction of triple-negative breast cancer. In SNMMI Annual Meeting, volume 59, Philadelphia, United States, pages 1755, June 2018. [bibtex-entry]



17. Santiago Silva, Boris A Gutman, Eduardo Romero, Paul M. Thompson, Andre Altmann, and Marco Lorenzi. Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. In International Symposium on Biomedical Imaging, Venice, Italy, April 2018. [bibtex-entry]



18. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. In MICCAI 2018 -- 21st International Conference On Medical Image Computing & Computer Assisted Intervention, volume 11072, Granada, Spain, September 2018. [bibtex-entry]



19. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, and Nicholas Ayache. FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis. In ISMRM-ESMRMB 2018 - Joint Annual Meeting, Paris, France, pages 1-6, June 2018. [bibtex-entry]

1. Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation. In Functional Imaging and Modelling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 271-279, June 2017. Springer International Publishing. Keyword(s): Electrophysiological modelling, Heart imaging, Ventricular tachycardia, Catheter ablation. [bibtex-entry]



2. Loïc Devilliers, Xavier Pennec, and Stéphanie Allassonnière. Inconsistency of Template Estimation with the Fréchet mean in Quotient Space. In Information Processing in Medical Imaging. IPMI 2017., volume 10265 of LNCS, Boone, United States, pages 16-27, June 2017. Martin Styner and Marc Niethammer and Dinggang Shen and Stephen Aylward and Ipek Oguz and Hongtu Zhu. [bibtex-entry]



3. Rubén Doste, David Soto-Iglesias, Gabriel Bernardino, Rafael Sebastian, Sophie Giffard-Roisin, Rocìo Cabrera-Lozoya, Maxime Sermesant, Antonio Berruezo, Damián Sánchez-Quintana, and Oscar Camara. A Rule-Based Method to Model Myocardial Fiber Orientation for Simulating Ventricular Outflow Tract Arrhythmias. In Lecture Notes in Computer Science, editor, Functional imaging and modelling of the heart 2017, volume 10263 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, June 2017. Keyword(s): Fiber orientation, Rule-based method, Electrophysiological simulations, Arrhythmias, Outflow tracts. [bibtex-entry]



4. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, Aldo Rinaldi, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. In Mihaela Pop, editor, Functional imaging and modelling of the heart 2017, Functional imaging and modelling of the heart 2017, Toronto, Canada, pages 230-238, June 2017. Springer International Publishing. Note: Best paper award FIMH 2017, category: Electrophysiology. Keyword(s): ECG Imaging, Cardiac Electrophysiology, Relevance Vector Machine, Personalisation. [bibtex-entry]



5. Shuman Jia, Claudia Camaioni, Marc-Michel Rohé, Pierre Jaïs, Xavier Pennec, Hubert Cochet, and Maxime Sermesant. Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression. In FIMH 2017 - International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 314 - 321, June 2017. Keyword(s): atrial fibrillation, catheter ablation, post-ablation outcome, left atrial remodeling, statistical shape analysis, partial least squares, regression. [bibtex-entry]



6. Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C Ghesu, Shun Miao, Andreas Maier, Nicholas Ayache, Rui Liao, and Ali Kamen. Robust non-rigid registration through agent-based action learning. In Medical Image Computing and Computer Assisted Interventions (MICCAI), Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Quebec, Canada, pages 344-352, September 2017. Springer International Publishing. Keyword(s): reinforcement learning, Image registration. [bibtex-entry]



7. Eric Lluch, Rubén Doste, Sophie Giffard-Roisin, Alexandre This, Maxime Sermesant, Oscar Camara, Mathieu de Craene, and Hernán G Morales. Smoothed Particle Hydrodynamics for Electrophysiological Modeling: An Alternative to Finite Element Methods. In FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, volume 141 of Functional imaging and modelling of the heart 2017 Proceedings, Toronto, Canada, pages 333-343, June 2017. Springer International Publishing. Keyword(s): Meshless, FEM, Cardiac electrophysiology, SPH. [bibtex-entry]



8. R azvan Valentin Marinescu, Arman Esaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian Crutch, and Daniel C Alexander. A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. In International Conference on Information Processing in Medical Imaging (IPMI), Boone, United States, July 2017. [bibtex-entry]



9. Kristin Mcleod, Maxime Sermesant, and Xavier Pennec. Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. In FIMH 2017 - 9th International Conference on Functional Imaging and Modeling of the Heart, volume 10263 of Lecture Notes in Computer Science, Toronto, Canada, pages 51 - 59, June 2017. Springer. [bibtex-entry]



10. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Elie-Dan Schouver, P Bouvier, S Leroy, P Cerboni, P Gibelin, Maxime Sermesant, and Emile Ferrari. Three-dimensional speckle tracking of the right ventricle : implications on survival. In Journées Européennes de la Société Française de Cardiologie, Paris, France, 2017. [bibtex-entry]



11. P Moceri, M Sermesant, D Baudouy, E. Ferrari, and Nicolas Duchateau. 3D right ventricular strain: comparative analysis of Tetralogy of Fallot and atrial septal defect. In Euroecho-Imaging 2017 - Twenty-First Annual Meeting of the European Association of Echocardiography, Lisbon, Portugal, December 2017. [bibtex-entry]



12. Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob Hauser, Dilveer Panesar, Alexander Jones, Andrew Taylor, Marcus Kelm, Titus Kuehne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, and Maxime Sermesant. Longitudinal Analysis using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2017, Québec City, Canada, pages 350-358, September 2017. Springer International Publishing. [bibtex-entry]



13. Roch Molléro, Jakob Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, and Maxime Sermesant. Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. In FIMH 2017 - 9th international conference on Functional Imaging and Modeling of the Heart, Functional Imaging and Modelling of the Heart, Toronto, Canada, pages 432-440, June 2017. Springer International Publishing. [bibtex-entry]



14. Xavier Pennec. Sample-limited L p Barycentric Subspace Analysis on Constant Curvature Spaces. In Geometric Sciences of Information (GSI 2017), Geometric Science of Information, Paris, France, pages 20-28, November 2017. Springer International Publishing. [bibtex-entry]



15. Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, and Xavier Pennec. SVF-Net: Learning Deformable Image Registration Using Shape Matching. In MICCAI 2017 - the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Québec, Canada, pages 266-274, September 2017. Springer International Publishing. Keyword(s): Deep Learning, Cardiac Imaging, Registration. [bibtex-entry]



16. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net. In STACOM: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, volume 10663 of LNCS, Québec, Canada, pages 170-177, September 2017. [bibtex-entry]

1. Jan L. Bruse, Kristin Mcleod, Elena Cervi, Giovanni Biglino, T.-y Hsia, Maxime Sermesant, Xavier Pennec, Andrew Taylor, and Silvia Schievano. Discovering clusters in pathologic cardiac morphology: MR-based hierarchical 3D shape clustering of surgically repaired aortic arches. In Computer Assisted Radiology, 30th International Congress and Exhibition, Heidelberg, Germany, June 2016. [bibtex-entry]



2. Claire Cury, Marc M Lorenzi, David M Cash, Jennifer M Nicholas, Alexandre M Routier, Jonathan Rohrer, Sebastien M Ourselin, Stanley M Durrleman, and Marc M Modat. Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. In Martin Reuter, Christian Wachinger, and Hervé Lombaert, editors, SeSAMI 2016 - First International Workshop Spectral and Shape Analysis in Medical Imaging, volume 10126 of Spectral and Shape Analysis in Medical Imaging, Athens, Greece, pages 63 - 75, September 2016. Springer. Keyword(s): thalamus, spatio-temporal geodesic regression, FTD, parallel transport, shape. [bibtex-entry]



3. Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Hervé Delingette, Nicholas Ayache, and Nicolas Guevara. Estimation de la position post-implantation cochléaire de l'électrode à partir d'images tomodensitométriques cliniques. In 123ème Congrès de la Société Française d'Oto-Rhino-Laryngologie et de Chirurgie de la Face et du Cou, Annales françaises d'Oto-rhino-laryngologie et de Pathologie Cervico-faciale, Paris, France, October 2016. Congrès de la Société Française d'Oto-Rhino-Laryngologie et de Chirurgie de la Face et du Cou. Keyword(s): Cochlear Implant, Computed Tomography. [bibtex-entry]



4. Thomas Demarcy, Clair Vandersteen, Charles Raffaelli, Dan Gnansia, Nicolas Guevara, Nicholas Ayache, and Hervé Delingette. Uncertainty Quantification of Cochlear Implant Insertion from CT Images. In Raj Shekhar, Stefan Wesarg, Miguel Angel Gonzalez Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, and Cristina Oyarzun Laura, editors, 5th International Workshop on Clinical Image-Based Procedures - CLIP 2016, Held in Conjunction with MICCAI 2016, volume 9958 of Lecture Notes in Computer Science, Athens, Greece, pages 27-35, October 2016. Springer. Keyword(s): cochlear implant, uncertainty quantification, shape modeling. [bibtex-entry]



5. Nicolas Duchateau, Mathieu de Craene, Pascal Allain, Eric Saloux, and Maxime Sermesant. Infarct localization from myocardial deformation: Prediction and uncertainty quantification by regression from a low-dimensional space. In GRIC - Journées Francophones de Radiologie, Paris, France, 2016. [bibtex-entry]



6. Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, and Maxime Sermesant. Estimation of Purkinje Activation from ECG: an Intermittent Left Bundle Branch Block Study. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, October 2016. Note: In press. Keyword(s): Electrophysiology, Electrophysiological Model, Forward EP Model, Parameter Estimation, Purkinje System. [bibtex-entry]



7. Shuman Jia, Loïc Cadour, Hubert Cochet, and Maxime Sermesant. STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, volume 10124 of LNCS, Athens, Greece, pages 211-219, October 2016. Springer. Keyword(s): geodesic active contour, atrial fibrillation, left atrial wall thickness, 3-dimensional image segmentation, cardiac computed tomography (CT), region growing. [bibtex-entry]



8. Stephanie Marchesseau, Nicolas Duchateau, and Hervé Delingette. Segmentation and registration coupling from short-axis Cine MRI: application to infarct diagnosis. In 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, volume 10124 of Lecture Notes in Computer Science, Athens, Greece, pages 48-56, October 2016. Note: In press. Keyword(s): Regional Volumes, Segmentation, Registration, Infarct diagnosis. [bibtex-entry]



9. Pamela Moceri, Nicolas Duchateau, Delphine Baudouy, Sylvie Leroy, Priscille Bouvier, Elie Dan Schouver, Maxime Sermesant, and Emile Ferrari. Three-dimensional speckle tracking of the right ventricle: implications on survival in pulmonary hypertension. In European Society of Cardiology (ESC) Congress, volume 37 of European Heart Journal, Abstracts from the European Society of Cardiology (ESC) Congress, Rome, Italy, pages 994, August 2016. [bibtex-entry]



10. Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, and Maxime Sermesant. A Multiscale Cardiac Model for Fast Personalisation and Exploitation. In MICCAI 2016 - Medical Image Computing and Computer Assisted Intervention, volume 9902 of MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, pages 174-182, October 2016. [bibtex-entry]



11. Marc-Michel Rohé, Roch Molléro, Maxime Sermesant, and Xavier Pennec. Highly Reduced Model of the Cardiac Function for Fast Simulation. In IEEE - IVMSP Workshop 2016, Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th, Bordeaux, France, pages 5, July 2016. IEEE. Keyword(s): Reduction Order Model, Biomechanical Model, Simulation 3D. [bibtex-entry]



12. Marc-Michel Rohé, Maxime Sermesant, and Xavier Pennec. Barycentric Subspace Analysis: a new Symmetric Group-wise Paradigm for Cardiac Motion Tracking. In MICCAI 2016 - Medical Image Computing and Computer Assisted Intervention, volume 9902 of MICCAI 2016, Lecture Notes in Computer Science, Athens, Greece, pages 300-307, October 2016. Keyword(s): Medical Image Analysis, Atlas Framework, Registration, Manifold atlas. [bibtex-entry]



13. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamas Erdei, Gabor Kunszt, Anna Degiovanni, Erberto Carluccio, Alan Fraser, Gemma Piella, and Bart Bijnens. Machine-learning based diagnosis of heart failure with preserved ejection fraction: how much do we agree with the guidelines?. In EuroEcho-Imaging, European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Leipzig, Germany, December 2016. Note: In press. [bibtex-entry]



14. Yitian Zhou, Mathieu de Craene, Maxime Sermesant, and Olivier Bernard. Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. In International Workshop on Statistical Atlases and Computational Models of the Heart, Athens, Greece, pages 39-47, October 2016. Keyword(s): Cardiac tagged MR, Strain, Tag number constant constraint. [bibtex-entry]



15. Yitian Zhou, Mathieu de Craene, Oudom Somphone, Maxime Sermesant, and Olivier Bernard. Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms. In International Workshop on Simulation and Synthesis in Medical Imaging, Athens, Greece, pages 108-117, October 2016. [bibtex-entry]

1. Martino Alessandrini, Adrian Basarab, Mathieu de Craene, Maxime Sermesant, Hervé Liebgott, Olivier Bernard, and Jan d'Hooge. The role of the image phase in cardiac strain imaging. In EUSIPCO 2015 - 23rd European Signal Processing Conference, Nice, France, pages 2796-2800, August 2015. IEEE. Keyword(s): Simulations, Medical imaging, Heart, Quality assurance, Echocardiography, MRI, Deformation imaging. [bibtex-entry]



2. Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Hervé Delingette, Maxime Sermesant, Pascal Allain, Olivier Bernard, Mathieu de Craene, and Jan d'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. In International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015), New York, United States, pages 756-759, April 2015. [bibtex-entry]



3. Stéphanie Allassonnière, Loïc Devilliers, and Xavier Pennec. Estimating the Template in the Total Space with the Fréchet Mean on Quotient Spaces may have a Bias: a Case Study on Vector Spaces Quotiented by the Group of Translations. In Mathematical Foundations of Computational Anatomy (MFCA'15), Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), Munich, Germany, pages 131-142, October 2015. [bibtex-entry]



4. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Challenges to Validate Multi-physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data. In Computational Biomechanics for Medicine X, Munich, Germany, pages 29-40, October 2015. [bibtex-entry]



5. Héloïse Bleton, Jan Margeta, Herve Lombaert, Hervé Delingette, and Nicholas Ayache. Myocardial Infarct Localization using Neighborhood Approximation Forests. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), Munich, Germany, October 2015. Keyword(s): Machine Learning, Neighbourhood Approximation Forests, myocardial infarction, wall thickness. [bibtex-entry]



6. Jan L. Bruse, Kristin Mcleod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Taylor, and Silvia Schievano. A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Lecture Notes in Computer Science, Munich, Germany, October 2015. Springer. [bibtex-entry]



7. Hadrien Courtecuisse, Yinoussa Adagolodjo, Hervé Delingette, and Christian Duriez. Haptic Rendering of Hyperelastic Models with Friction. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 591-596, September 2015. IEEE. [bibtex-entry]



8. Nicolas Duchateau, Nerea Mangado, Mario Ceresa, Pavel Mistrik, Sergio Vera, and Miguel Angel Gonzalez Ballester. Virtual cochlear electrode insertion via parallel transport frame. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, New York, France, pages 1398 - 1401, April 2015. [bibtex-entry]



9. Nicolas Duchateau and Maxime Sermesant. Prediction of infarct localization from myocardial deformation. In Statistical Atlases and Computational Modeling of the Heart (STACOM 2015), volume 9534 of Statistical Atlases and Computational Modeling of the Heart, Munich, Germany, October 2015. [bibtex-entry]



10. Nicolas Duchateau, Maxime Sermesant, Pierre Gibelin, Emile Ferrari, and Pamela Moceri. 3D regional right ventricular function in pulmonary hypertension. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress., Seville, Spain, pages ii69, 2015. [bibtex-entry]



11. Nicolas Duchateau, Mathieu de Craene, Damien Legallois, Fabien Labombarda, Arnaud Pellissier, Maxime Sermesant, and Eric Saloux. Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii81, 2015. [bibtex-entry]



12. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Joint Morphometry of Fiber Tracts and Gray Matter structures using Double Diffeomorphisms. In IPMI - Information Processing in Medical Imaging, volume 9123 of Lecture Notes in Computer Science, Isle of Skye, United Kingdom, pages 275-287, June 2015. Keyword(s): diffeomorphism, morphometry, atlas, structural connectivity, shape. [bibtex-entry]



13. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Unified analysis of shape and structural connectivity of neural pathways. In Organisation for Human Brain Mapping, Honolulu, United States, 2015. [bibtex-entry]



14. Vikash Gupta, Grégoire Malandain, Nicholas Ayache, and Xavier Pennec. A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images. In MICCAI 2015 Workshop on Computational Diffusion MRI (CDMRI'15), Computational Diffusion MRI, Munich, Germany, pages 99-108, October 2015. Keyword(s): Multimodal brain atlas, Probabilistic white matter parcel-lation map, HIV, DTI-T1 brain template. [bibtex-entry]



15. Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Simulating Patient Specific Multiple Time-point MRIs From a Biophysical Model of Brain Deformation in Alzheimer's Disease. In Workshop on Computational Biomechanics for Medicine - X, Computational Biomechanics for Medicine: Imaging, Modeling and Computing, Munich, France, pages 167-176, October 2015. Springer International Publishing. Keyword(s): biophysical modeling, Alzheimer's disease, biomechanical simulation, MRI, longitudinal MRI. [bibtex-entry]



16. Herve Lombaert, Michael Arcaro, and Nicholas Ayache. Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps. In Sebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, and M. Jorge Cardoso, editors, Information Processing in Medical Imaging (IPMI 2015), volume 9123 of Lecture Notes in Computer Science, Scotland, United Kingdom, pages 474-487, July 2015. Springer. [bibtex-entry]



17. Herve Lombaert, Michael Arcaro, Sabine Kastner, and Nicholas Ayache. Brain Transfer for the Analysis of Cortical Data. In Society for Neuroscience (SfN), Chicago, United States, October 2015. [bibtex-entry]



18. Herve Lombaert, Antonio Criminisi, and Nicholas Ayache. Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. In Nassir Navab, Joachim Hornegger, William M. Wells, and Alejandro F. Frangi, editors, Medical Image Computingand Computer Assisted Intervention (MICCAI 2015), volume 9349 of Lecture Notes in Computer Science, Munich, Germany, pages 547-555, October 2015. Springer. [bibtex-entry]



19. Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R Gerstner, Tracy Batchelor, Jan Unkelbach, and Nicholas Ayache. Bayesian Personalization of Brain Tumor Growth Model. In Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, and William M. Wells, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015, volume 9350 of Lecture Notes in Computer Science - LNCS, Munich, Germany, pages 424-432, October 2015. Springer. Keyword(s): Glioma Modeling, Bayesian, Personalization. [bibtex-entry]



20. Matthieu Lê, Jan Unkelbach, Nicholas Ayache, and Hervé Delingette. GPSSI: Gaussian Process for Sampling Segmentations of Images. In Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, and William M. Wells, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2015, volume 9351 of Lecture Notes in Computer Science - LNCS, Munich, Germany, pages 38-46, October 2015. Springer. Keyword(s): Sampling, Gaussian process, Radiotherapy, Segmentation. [bibtex-entry]



21. Jessie Mahé, Nicolas Linard, Marzieh Kohandani Tafreshi, Tom Vercauteren, Nicholas Ayache, Francois Lacombe, and Remi Cuingnet. Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, volume 9349, Munich, Germany, pages 447-454, October 2015. [bibtex-entry]



22. Nerea Mangado, Mario Ceresa, Nicolas Duchateau, Hector Dejea, Hans Martin Kjer, Rasmus Paulsen, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Automatic generation of a computational model for monopolar stimulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S67-S68, 2015. [bibtex-entry]



23. Nerea Mangado, Nicolas Duchateau, Mario Ceresa, Hans Martin Kjer, Sergio Vera, Pavel Mistrik, Javier Herrero, and Miguel Angel Gonzalez Ballester. Patient-specific virtual insertion of electrode array for electrical simulation of cochlear implants. In Computer Assisted Radiology and Surgery (CARS), volume 10 of International Journal of Computer Assisted Radiology and Surgery, Barcelona, Spain, pages S102-S103, 2015. [bibtex-entry]



24. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. In Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), volume 9351 of Lecture notes in computer science (LNCS), Munich, Germany, pages 419-426, October 2015. [bibtex-entry]



25. Nina Miolane and Xavier Pennec. A survey of mathematical structures for extending 2D neurogeometry to 3D image processing. In MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data. MCV 2015., volume 9601 of LNCS, Munich, Germany, pages 155-167, October 2015. Keyword(s): sub-Riemannian geometry, Image processing, neurogeometry. [bibtex-entry]



26. Nina Miolane and Xavier Pennec. Biased estimators on Quotient spaces. In Geometric Science of Information. Second International Conference, GSI 2015., volume 9389 of Lecture notes in computer science (LNCS), Palaiseau, France, pages 130-139, October 2015. Springer. [bibtex-entry]



27. Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Herve Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, and Tommaso Mansi. Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. In Functional Imaging and Modeling of the Heart, LNCS., 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, Maastricht, Netherlands, pages 448-456, June 2015. [bibtex-entry]



28. Xavier Pennec. Barycentric Subspaces Analysis on Spheres. In Mathematical Foundation sof Computational Anatomy (MFCA'15), Proceedings of the fifth international workshop on Mathematical Foundation sof Computational Anatomy (MFCA'15), Munich, Germany, pages 71-82, October 2015. [bibtex-entry]



29. Xavier Pennec. Barycentric Subspaces and Affine Spans in Manifolds. In Geometric Science of Information GSI'2015, Second International Conference, volume 9389 of Lecture Notes in Compuer Science, Palaiseau, France, pages 12-21, October 2015. [bibtex-entry]



30. Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, and Xavier Pennec. Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct. In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2015., volume 9534 of LNCS, Munich, Germany, pages 190-198, 2015. Springer. Keyword(s): Medical Imaging, Cardiac Motion, Machine Learning. [bibtex-entry]



31. Sergio Sanchez-Martinez, Nicolas Duchateau, Bart Bijnens, Tamás Erdei, Alan Fraser, and Gemma Piella. Characterization of myocardial motion by multiple kernel learning: application to heart failure with preserved ejection fraction. In 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, volume 9126 of Functional Imaging and Modeling of the Heart, LNCS, Maastricht, Netherlands, pages 65-73, 2015. [bibtex-entry]



32. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Can machine learning help to identify heart failure with preserved ejection fraction?. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii38-9, 2015. [bibtex-entry]



33. Sergio Sanchez-Martinez, Nicolas Duchateau, Tamás Erdei, Alan Fraser, Gemma Piella, and Bart Bijnens. Quantifying the contribution of stress echocardiography to the diagnosis of heart failure with preserved ejection fraction. In EuroEcho-Imaging, volume 16 of European Heart Journal: Cardiovascular Imaging, Abstracts from the EuroEcho-Imaging congress, Seville, Spain, pages ii234, 2015. [bibtex-entry]



34. David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, and Oscar Camara. Quantitative analysis of lead position vs. correction of electrical dyssynchrony in an experimental model of LBBB/CRT. In FIMH: Functional Imaging and Modeling of the Heart, volume LNCS of Functional Imaging and Modeling of the Heart, Maastricht, Netherlands, pages 74-82, June 2015. [bibtex-entry]



35. Hugo Talbot, Stephane Cotin, Reza Razavi, Christopher Rinaldi, and Hervé Delingette. Personalization of Cardiac Electrophysiology Model using the Unscented Kalman Filtering. In Computer Assisted Radiology and Surgery (CARS 2015), Barcelona, Spain, June 2015. [bibtex-entry]



36. Hugo Talbot, Nazim Haouchine, Igor Peterlik, Jeremie Dequidt, Christian Duriez, Hervé Delingette, and Stephane Cotin. Surgery Training, Planning and Guidance Using the SOFA Framework. In Eurographics, Zurich, Switzerland, May 2015. [bibtex-entry]



37. Anant S. Vemuri, Stéphane Nicolau, Jacques Marescaux, Luc Soler, and Nicholas Ayache. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance. In Medical Content-based Retrieval for Clinical Decision Support, Munich, Germany, pages 1-8, October 2015. Tanveer Syeda-Mahmood and Hayit Greenspan and Anant Madabhushi. Keyword(s): Computer assisted intervention, Endoscopic Image classification, Endoluminal surgery, Barrett's Oesophagus. [bibtex-entry]

1. Martino Alessandrini, Brecht Heyde, Szymon Cygan, Maxime Sermesant, Hervé Delingette, Olivier Bernard, De Craene, and Jan d'Hooge. Elastic registration vs. block matching for quantification of cardiac function with 3D ultrasound: Initial results of a direct comparison in silico based on a new evaluation pipeline. In IEEE International Ultrasonics Symposium, Chicago, United States, pages 608 - 611, September 2014. [bibtex-entry]



2. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael Choti, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Parameter Estimation For Personalization of Liver Tumor Radiofrequency Ablation. In MICCAI Workshop on Abdominal Imaging -- Computational and Clinical Applications, Boston, United States, September 2014. [bibtex-entry]



3. Rocio Cabrera Lozoya, Jan Margeta, Loic Le Folgoc, Yuki Komatsu, Berte Benjamin, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jais, Nicholas Ayache, and Maxime Sermesant. Confidence-based Training for Clinical Data Uncertainty in Image-based Prediction of Cardiac Ablation Targets. In bigMCV Workshop MICCAI 2014, Boston, United States, September 2014. [bibtex-entry]



4. Hugo Darmanté, Benoit Bugnas, Regis Bernard De Dompsure, Laurent Barresi, Nina Miolane, Xavier Pennec, Fernand de Peretti, and Nicolas Bronsard. Analyse biométrique de l'anneau pelvien en 3 dimensions - à propos de 100 scanners. In 89e Réunion annuelle de la SOFCOT, volume 100 of Revue de Chirurgie Orthopédique et Traumatologique, Paris, France, November 2014. [bibtex-entry]



5. Sophie Giffard-Roisin, Stéphanie Marchesseau, Loic Le Folgoc, Hervé Delingette, and Maxime Sermesant. Evaluation of Personalised Canine Electromechanical Models. In O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, and A. Young, editors, Proceedings of the 5th international STACOM workshop (Boston, September 18, 2014), number 8896 of 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers, Boston, United States, pages 74-82, September 2014. Pop M., Springer. Keyword(s): Cardiac Modelling, Mechanical modeling, Modelling and Simulation, Personalised modelling, Personalized modeling, Cardiac electrical activity, Cardiac Modeling, Cardiac Electrophysiology modeling, Cardiac Electrophisiology, Modelisation cardiaque. [bibtex-entry]



6. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. In MICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Boston, United States, September 2014. [bibtex-entry]



7. Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. In P. GOLLAND, N. HATA, C. BARILLOT, J. HORNEGGER, and R. HOWE, editors, MICCAI 2014 - 17th International Conference Medical Image Computing and Computer-Assisted Intervention, volume 8674 of LNCS - Lecture Notes in Computer Science, Springer, Boston, United States, pages 41-48, September 2014. Springer. Keyword(s): Alzheimer's disease, Biophysical model, Atrophy model, Atrophy simulation, Longitudinal modeling. [bibtex-entry]



8. Marzieh Kohandani Tafreshi, Virendra Joshi, Alexander Meining, Charles Lightdale, Marc Giovannini, Julien Dauguet, Nicholas Ayache, and Barbara André. Smart Atlas for Supporting the Interpretation of probe-based Confocal Laser Endomicroscopy (pCLE) of Biliary Strictures: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition. In Digestive Disease Week (DDW 2014), Chicago, United States, May 2014. [bibtex-entry]



9. Marzieh Kohandani Tafreshi, Yan-Qing Li, Rapat Pittayanon, Douglas Pleskow, Virendra Joshi, Philip Chiu, Julien Dauguet, Nicholas Ayache, and Barbara André. Smart Atlas for Supporting the Interpretation of probe-based Confocal Laser Endomicroscopy (pCLE) of Gastric Lesions: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition. In Digestive Disease Week (DDW 2014), Chicago, United States, May 2014. [bibtex-entry]



10. Marzieh Kohandani Tafreshi, Nicolas Linard, Barbara André, Nicholas Ayache, and Tom Vercauteren. Semi-automated Query Construction for Content-based Endomicroscopy Video Retrieval. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, United States, September 2014. Keyword(s): Microscopic imaging, Biological Imaging, Abdominal imaging, Optical imaging, Machine learning, Database retrieval and data mining, Computer vision, Minimally invasive procedure, Pathology, Intraoperative imaging, Endoscopic imaging. [bibtex-entry]



11. Marzieh Kohandani Tafreshi, Bertrand Napoléon, Anne-Isabelle Lemaistre, Marc Giovannini, Virendra Joshi, Julien Dauguet, Nicholas Ayache, and Barbara André. Smart Atlas for Supporting the Interpretation of needle-based Confocal Laser Endomicroscopy (nCLE) of Pancreatic Cysts: First Classification Results of a Computer-Aided Diagnosis Software based on Image Recognition. In Digestive Disease Week (DDW 2014), Chicago, United States, May 2014. [bibtex-entry]



12. Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Sparse Bayesian Registration. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, and Robert Howe, editors, MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, volume 8673 of LNCS - Lecture Notes in Computer Science, Springer, Boston, United States, pages 235-242, September 2014. Springer. Keyword(s): Sparse, Bayesian, Registration, Automatic Relevance Determination, MRI. [bibtex-entry]



13. Herve Lombaert, Darko Zikic, Antonio Criminisi, and Nicholas Ayache. Laplacian Forests: Semantic Image Segmentation by Guided Bagging. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, and Robert Howe, editors, MICCAI 2014 - 17th International Conference Medical Image Computing and Computer-Assisted Intervention, volume 8674 of LNCS - Lecture Notes in Computer Science, Boston, United States, September 2014. Springer. [bibtex-entry]



14. Marco Lorenzi, Xavier Pennec, Nicholas Ayache, and (adni) For The Alzheimer'S Disease Neuroimaging Initiative. Regional flux analysis of longitudinal atrophy in Alzheimer's disease. In Alzheimer's Association International Conference, Copenhagen, Denmark, July 2014. Note: Oral podium presentation. [bibtex-entry]



15. Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elisabeth Gerstner, Helen A. Shih, Tracy Batchelor, Jan Unkelbach, and Nicholas Ayache. Multimodal Analysis of Vasogenic Edema in Glioblastoma Patients for Radiotherapy Planning. In Workshop Image-Guided Adaptive Radiation Therapy, Boston, United States, September 2014. [bibtex-entry]



16. Jan Margeta, Antonio Criminisi, Daniel C. Lee, and Nicholas Ayache. Recognizing cardiac magnetic resonance acquisition planes. In MIUA - Medical Image Understanding and Analysis Conference - 2014, London, United Kingdom, July 2014. Reyes-Aldasoro, Constantino Carlos and Slabaugh, Gregory. Keyword(s): random forests, cardiac MR. [bibtex-entry]



17. Nina Miolane and Xavier Pennec. Statistics on Lie groups : a need to go beyond the pseudo-Riemannian framework. In Bayesian inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), volume 1641 of AIP Conference Proceedings, Amboise, France, pages 59-66, September 2014. AIP Proceedings. Keyword(s): manifold, metric, exponential barycenter, Lie group, computational anatomy, Statistics, pseudo-Riemannian. [bibtex-entry]



18. H Talbot, F Spadoni, Christian Duriez, M Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Training System for Interventional Electrocardiology Procedures. In 6th International Symposium on Biomedical Simulation - ISBMS 2014, Strabsourg, France, pages 11 - 19, October 2014. Keyword(s): Electrophysiology, Radio-Frequency Ablation, Arrhythmia, Training System. [bibtex-entry]



19. Anant S. Vemuri, Adrien Sportes, Stéphane Nicolau, Jacques Marescaux, Nicholas Ayache, and Luc Soler. Video Synchronization: An Approach to Biopsy Site Re-localization. In Proceedings of Surgetica'2014 : Computer-Assisted Medical Interventions: scientific problems, tools and clinical applications, Chambéry, France, December 2014. Jocelyne TROCCAZ. Keyword(s): Inter operative Relocalization, Endoluminal surgery, Endoscopy. [bibtex-entry]



20. Mathieu de Craene, Martino Alessandrini, Pascal Allain, Stephanie Marchesseau, I Waechter-Stehle, J Weese, E Saloux, H. G. Morales, R Cuingnet, Hervé Delingette, M Sermesant, Olivier Bernard, and J D 'Hooge. Generation of ultra-realistic synthetic echocardiographic sequences. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, Beijing, China, pages 73 - 76, April 2014. IEEE. Keyword(s): Ultra-sound imaging, Motion detection and tracking, Modeling of image formation. [bibtex-entry]

1. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Puneet Sharma, Ali Kamen, Daniel Carnegie, Emad Boctor, Michael Choti, Dorin Comaniciu, and Nicholas Ayache. Lattice Boltzmann Method For Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2013, volume 8151 of Lecture Notes in Computer Science - LNCS, Nagoya, Japan, pages 323-330, September 2013. Springer. [bibtex-entry]



2. Thomas Benseghir, Grégoire Malandain, and Régis Vaillant. Iterative Closest Curve: a Framework for Curvilinear Structure Registration Application to 2D/3D Coronary Arteries Registration. In Mori, Kensaku, Sakuma, Ichiro, Sato, Yoshinobu, Barillot, Christian, Navab, and Nassir, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention, volume 8149 of Lecture Notes in Computer Science, Nagoya, Japan, pages 179-186, September 2013. Springer. Keyword(s): registration, curvilinear structure, ICP, chronic total occlusion, CTO, coronary, X-ray, computed tomography angiography, CTA. [bibtex-entry]



3. Marine Breuilly, Grégoire Malandain, Nicholas Ayache, Julien Guglielmi, Thierry Pourcher, Philippe R. Franken, and Jacques Darcourt. Image-based motion detection in 4D images and application to respiratory motion suppression. In ISBI - International Symposium on Biomedical Imaging, Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, United States, pages 792-795, April 2013. IEEE. [bibtex-entry]



4. Nicolas Cordier, Bjoern Menze, Hervé Delingette, and Nicholas Ayache. Patch-based Segmentation of Brain Tissues. In Bjoern Menze, Mauricio Reyes, Andras Jakab, Elisabeth Gerstner, Justin Kirby, and Keyvan Farahani, editors, MICCAI Challenge on Multimodal Brain Tumor Segmentation, Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2013, Nagoya, Japan, pages 6 - 17, September 2013. IEEE. [bibtex-entry]



5. Florian Dittmann, Bjoern Menze, Ender Konukoglu, and Jan Unkelbach. Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. In Multimodal Brain Image Analysis, volume 8159 of Lecture Notes in Computer Scienc, Nagoya, Japan, pages 63-73, September 2013. [bibtex-entry]



6. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1332-35, 2013. IEEE. [bibtex-entry]



7. Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. In MICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Nagoya, Japan, pages 267-274, September 2013. [bibtex-entry]



8. Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, and Stanley Durrleman. Towards joint morphometry of white matter tracts and gray matter surfaces. In Human Brain Mapping, Seattle, United States, 2013. Note: Organization for Human Brain Mapping 2013. [bibtex-entry]



9. Vikash Gupta, Nicholas Ayache, and Xavier Pennec. Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach using Spatial Prior. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, Proceedings of Medical Image Computing and Computer Assisted Intervention 2013 (MICCAI), volume 8151 of Lecture Notes in Computer Science - LNCS, Nagoya, Japan, pages 477-484, September 2013. Springer. Keyword(s): DTI, Super-resolution, Partial volume effect, Diffusion Tensor Imaging, Clinical Medical Imaging. [bibtex-entry]



10. Marco Lorenzi, Martina Bochetta, Nicholas Ayache, Xavier Pennec, and Giovanni B. Frisoni. Conversion to MCI in healthy individuals with abnormal CSF Ab42 levels is associated with specific longitudinal morphological changes. In Alzheimer's Association International Conference 2013, volume 9, issue 4 (supplement) of Alzheimer's & Dementia: The Journal of the Alzheimer's Association, Boston, United States, pages P596, July 2013. [bibtex-entry]



11. Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, and Xavier Pennec. Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, Medical Image Computing and Computer Aided Intervention (MICCAI), volume 8150 of Lecture Notes in Computer Science - LNCS, Nagoya, Japan, pages 328-335, September 2013. Springer. Keyword(s): Scale-space decomposition, non-rigid registration, longitudinal analysis, stationary velocity fields. [bibtex-entry]



12. Marco Lorenzi and Xavier Pennec. Parallel Transport with Pole Ladder: Application to Deformations of time Series of Images. In Nielsen, Frank, Barbaresco, and F., editors, GSI2013 - Geometric Science of Information, volume 8085 of Lecture Notes in Computer Science - LNCS, Paris, France, pages 68-75, August 2013. Springer. [bibtex-entry]



13. Jan Margeta, Kristin Mcleod, Antonio Criminisi, and Nicholas Ayache. Decision forests for segmentation of left atrium from 3D MRI. In 4th International Workshop on Statistical Atlases and Computational Models of the Heart, Nagoya, Japan, September 2013. [bibtex-entry]



14. Kristin Mcleod, Christof Seiler, Maxime Sermesant, and Xavier Pennec. Spatio-Temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, MICCAI - Medical Image Computing and Computer Assisted Intervention - 2013, volume 8150 of Lecture Notes in Computer Science, Nagoya, Japan, pages 501-508, 2013. Springer, Heidelberg. [bibtex-entry]



15. Kristin Mcleod, Christof Seiler, Nicolas Toussaint, Maxime Sermesant, and Xavier Pennec. Regional Analysis of Left Ventricle Function using a Cardiac-Specific Polyaffine Motion Model. In Sébastien Ourselin, Daniel Rueckert, and Nicolas Smith, editors, Functional Imaging and Modeling of the Heart 2013 (FIMH), volume 7945 of Lecture Notes in Computer Science, London, United Kingdom, pages 483-490, June 2013. Springer. [bibtex-entry]



16. Mariem Mhiri, Vineeth Varma, Maël Le, Samson Lasaulce, and Abdelaziz Samet. On the benefits of repeated game models for green cross-layer power control in small cells. In BlackSeaCom 2013, Batumi, Georgia, July 2013. Keyword(s): channel state information, repeated game, energy efficiency, Index Terms-distributed power control, channel state information. [bibtex-entry]



17. Xavier Pennec. Bi-invariant means on Lie groups with Cartan-Schouten connections. In Nielsen, Frank, Barbaresco, and F., editors, Geometric Science of Information (GSI 2013), volume 8085 of Lecture Notes in Computer Science - LNCS, Paris, France, pages 59-67, August 2013. Springer. [bibtex-entry]



18. Christof Seiler, Xavier Pennec, and Susan Holmes. Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics. In GSI - Geometric Science of Information - 2013, volume 8085 of Lecture Notes in Computer Science - LNCS, Paris, France, pages 120-127, August 2013. Springer. [bibtex-entry]



19. Oudom Somphone, Mathieu de Craene, Roberto Ardon, Benoit Mory, Pascal Allain, Hang Gao, Jan d'Hooge, Stéphanie Marchesseau, Maxime Sermesant, and Eric Saloux. Fast Myocardial Motion and Strain Estimation in 3D Cardiac Ultrasound with Sparse Demons. In International Symposium on Biomedical Imaging (ISBI), 2013, San Francisco, United States, pages 1182-1185, April 2013. IEEE. [bibtex-entry]



20. Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, CA, United States, pages 1130-32, 2013. IEEE. [bibtex-entry]



21. Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, and Bjoern H. Menze. Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. In BMVC - British Machine Vision Conference, Bristol, United Kingdom, September 2013. [bibtex-entry]



22. Birkan Tunç, Alex Smith, Demian Wasserman, Xavier Pennec, William M. Wells, Ragini Verma, and Kilian M. Pohl. Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering. In Gee, J. C., Joshi, Sarang, Pohl, Kilian M., Wells, William M., Zollei, and L., editors, IPMI 2013 - Information Processing in Medical Imaging, volume 7917 of LNCS, Asilomar, United States, pages 730-741, June 2013. Springer. [bibtex-entry]



23. Anant S. Vemuri, Stéphane Nicolau, Nicholas Ayache, Jacques Marescaux, and Luc Soler. Inter-Operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 8149 of Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, Nagoya, Japan, pages 372-379, September 2013. Springer. Keyword(s): Computer assisted surgery, Surgical Navigation, Biopsy relocalization. [bibtex-entry]

1. H. Bou-Sleiman, Christof Seiler, T. Iizuka, L. Nolte, and Mauricio Reyes. Population-Based Design of Mandibular Plates Based on Bone Quality and Morphology. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7510 of LNCS, pages 66-73, October 2012. Springer, Heidelberg. [bibtex-entry]



2. Mathieu De Craene, Pascal Allain, Hang Gao, Adityo Prakosa, Stéphanie Marchesseau, Loic Hilpert, Oudom Somphone, Hervé Delingette, Sherif Makram-Ebeid, Nicolas Villain, Jan D'hooge, Maxime Sermesant, and Eric Saloux. Synthetic and Phantom Setups for the Second cardiac Motion Analysis Challenge (cMAC2). In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), LNCS, 2012. Springer. [bibtex-entry]



3. Nicolas Duchateau, Mathieu De Craene, Xavier Pennec, Beatriz Merino, Marta Sitges, and Bart Bijnens. Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?. In Proc. of STIA 2012 (Spatio-=Temporal Image Analysis for Longitudinal and Time-Series Image Data, volume 7570 of LNCS, pages 25-37, October 2012. Springer, Heidelberg. [bibtex-entry]



4. Ezequiel Geremia, Bjoern H. Menze, and Nicholas Ayache. Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR Images. In MICCAI Challenge on Multimodal Brain Tumor Segmentation, LNCS, October 2012. Springer. [bibtex-entry]



5. Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, and Nicholas Ayache. Brain tumor cell density estimation from multi-modal MR images based on a synthetic tumor growth model. In MICCAI Workshop on Medical Computer Vision, LNCS, October 2012. Springer. [bibtex-entry]



6. Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Current-based 4D shape analysis for the mechanical personalization of heart models. In Proceedings of MCV Workshop at MICCAI 2012, LNCS, October 2012. Springer. [bibtex-entry]



7. Hervé Lombaert, Leo Grady, Xavier Pennec, Nicholas Ayache, and Farida Cheriet. Spectral Demons - Image Registration via Global Spectral Correspondence. In Proc. of ECCV (2), number 7573 of LNCS, pages 30-44, 2012. [bibtex-entry]



8. Hervé Lombaert, Leo Grady, Xavier Pennec, Jean-Marc Peyrat, Nicholas Ayache, and Farida Cheriet. Groupwise Spectral Log-Demons Framework for Atlas Construction. In Medical Computer Vision (MCV'12) MICCAI workshop, 2012. Note: Best paper award. [bibtex-entry]



9. Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images. In MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12), pages 145-154, October 2012. ISBN: 9781479261994. [bibtex-entry]



10. Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional flux analysis of longitudinal atrophy in Alzheimer's disease. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7510 of LNCS, pages 739-746, October 2012. Springer, Heidelberg. ISBN: 978-3-642-33414-6. [bibtex-entry]



11. Marco Lorenzi, Giovanni B. Frisoni, Nicholas Ayache, and Xavier Pennec. Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy. In MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12), pages 256-265, October 2012. ISBN: 9781479261994. [bibtex-entry]



12. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Kawal Rhode, S.G. Duckett, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Cardiac Mechanical Parameter Calibration based on the Unscented Transform. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7511 of LNCS, October 2012. Springer, Heidelberg. [bibtex-entry]



13. Kristin McLeod, Adityo Prakosa, Tommaso Mansi, Maxime Sermesant, and Xavier Pennec. An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM11), number 7085 of LNCS, Toronto, pages 55-67, September 2012. Springer. [bibtex-entry]



14. Kristin McLeod, Christof Seiler, Maxime Sermesant, and Xavier Pennec. A Near-Incompressible Poly-Affine Motion Model for Cardiac Function Analysis. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'12), LNCS, Nice, October 2012. Springer. [bibtex-entry]



15. Adityo Prakosa, Kristin McLeod, Maxime Sermesant, and Xavier Pennec. Evaluation of iLogDemons Algorithm for Cardiac Motion Tracking in Synthetic Ultrasound Sequence. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenge (STACOM12), LNCS, October 2012. Springer. [bibtex-entry]



16. Nicolas Savoire, Barbara André, and Tom Vercauteren. Online Blind Calibration of Non-Uniform Photodetectors: Application to Endomicroscopy. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), LNCS, October 2012. Springer, Heidelberg. Note: To appear. [bibtex-entry]



17. Christof Seiler, Xavier Pennec, and Mauricio Reyes. Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7511 of LNCS, pages 130-137, October 2012. Springer, Heidelberg. ISBN: 978-3-642-33417-7. [bibtex-entry]



18. Stefan Sommer, Mads Nielsen, and Xavier Pennec. Sparsity and Scale: Compact Representations of Deformation for Diffeomorphic Registration. In IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2012), Breckenridge, Colorado, USA, January 2012. [Abstract] [bibtex-entry]



19. Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, and Nicholas Ayache. Predicting the Location of Glioma Recurrence After a Resection Surgery. In Proceedings of 2nd International MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (STIA'12), LNCS, Nice, October 2012. Springer. [bibtex-entry]



20. Hugo Talbot, Christian Duriez, Hadrien Courtecuisse, Jatin Relan, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator. In Statistical Atlases and Computational Models of the Heart - STACOM 2012 in the 15th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2012, Lecture Notes in Computer Science, Nice, France, October 2012. Springer. [bibtex-entry]



21. Hugo Talbot, Stéphanie Marchesseau, Christian Duriez, Hadrien Courtecuisse, Jatin Relan, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Electromechanical Model of the Heart for Patient-Specific Therapy Planning and Training using SOFA. In Virtual Human Project (VPH), 2012. [bibtex-entry]



22. J. Unkelbach, Bjoern H. Menze, A. Motamedi, F. Dittmann, Ender Konukoglu, Nicholas Ayache, and H. Shih. Glioblastoma growth modeling for radiotherapy target delineation.. In Proc MICCAI Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therap., pages 12 pages, 2012. [bibtex-entry]



23. Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, and Pengcheng Shi. Strain-Based Regional Nonlinear Cardiac Material Properties Estimation From Medical Images. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), LNCS, October 2012. Springer, Heidelberg. Note: To appear. [bibtex-entry]

1. Barbara André, Tom Vercauteren, and Nicholas Ayache. Content-Based Retrieval in Endomicroscopy: Toward an Efficient Smart Atlas for Clinical Diagnosis. In Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'11), LNCS, 2011. Springer. [bibtex-entry]



2. Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, and Nicholas Ayache. Retrieval evaluation and distance learning from perceived similarity between endomicroscopy videos. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS, pages 8p, 2011. Springer, Heidelberg. [bibtex-entry]



3. S. Bonaretti, Christof Seiler, C. Boichon, P. Bchler, and Mauricio Reyes. Mesh-based vs. Image-based Statistical Model of Appearance of the Human Femur: A Preliminary Comparison Study for the Creation of Finite Element Meshes. In Mesh Processing in Medical Image Analysis Workshop MICCAI, 2011. [bibtex-entry]



4. H. Cochet, A. S. Jadidi, O. Corneloup, M. Lederlin, J. Relan, M. Montaudon, M. Sermesant, P. Jaïs, and F. Laurent. Myocardial Scar Modeling from Delayed Enhancement MRI: Usefulness for the Guidance of Ventricular Tachycardia Mapping and Ablation. In Radiological Society of North America, RSNA'11, November 2011. [bibtex-entry]



5. H. Cochet, A. S. Jadidi, F. Sacher, N. Derval, M. Sermesant, J. Relan, S. J. Kim, P. Bordachar, P. Ritter, M. Hocini, M. Montaudon, F. Laurent, N. Ayache, M. Haïssaguerre, and P. Jais. Ventricular Scar At Cardiac CT Correlates To Critical Isthmuses Of Ventricular Tachycardia Circuits And Sites Of Slow Conduction During Sinus Rhythm - Evidence For Clinical Use Of CT Integration Into 3D Mapping Systems. In Heart Rhythm Society '11, May 2011. [bibtex-entry]



6. B. Gibaud, F. Ahmad, C. Barillot, F. Michel, B. Wali, B. Batrancourt, M. Dojat, P. Girard, A. Gaignard, D. Lingrand, J. Montagnat, J. Rojas Balderrama, G. Malandain, X. Pennec, D. Godard, G. Kassel, and M. Pélégrini-Issac. A federated system for sharing and reuse of images and image processing tools in neuroimaging. In Proc. of Computer Assisted Radiology and Surgery 2011 (CARS 2011), June 2011. [bibtex-entry]



7. A. S. Jadidi, H. Cochet, F. Sacher, S. J. Kim, M. Sermesant, J. Relan, N. Derval, S. Miyazaki, A. Shah, D. Scherr, S. B. Wilton, P. Pascale, L. Roten, M. Pederson, S. Knecht, P. Bordachar, P. Ritter, M. Hocini, M. Montaudon, F. Laurent, N. Ayache, M. Haïssaguerre, and P. Jaïs. Ventricular Scar imaging at MRI Correlates to Critical Isthmuses of Ventricular Tachycardia Circuits and Sites of Slow Conduction during Sinus Rhythm - Utility of integrating MR-data into 3D Mapping Systems. In Heart Rhythm Society '11, May 2011. [bibtex-entry]



8. Herve Lombaert, Jean-Marc Peyrat, Pierre Croisille, Stanislas Rapacchi, Laurent Fanton, Patrick Clarysse, Hervé Delingette, and Nicholas Ayache. Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI. In Leon Axel and Dimitris Metaxas, editors, Proceedings of FIMH Conference 2011, volume 6666 of LNCS, pages 171-179, May 2011. Springer. Note: Best Paper Award. [bibtex-entry]



9. Herve Lombaert, Jean-Marc Peyrat, Laurent Fanton, Farida Cheriet, Hervé Delingette, Nicholas Ayache, Patrick Clarysse, Isabelle Magnin, and Pierre Croisille. Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts. In Proceedings of STACOM Workshop at MICCAI 2011, September 2011. Springer. [bibtex-entry]



10. Herve Lombaert, Jean-Marc Peyrat, Laurent Fanton, Farida Cheriet, Hervé Delingette, Nicholas Ayache, Patrick Clarysse, Isabelle Magnin, and Pierre Croisille. Variability of the Human Cardiac Laminar Structure. In Proceedings of STACOM Workshop at MICCAI 2011, September 2011. Springer. [bibtex-entry]



11. Herve Lombaert, Jean-Marc Peyrat, Stanislas Rapacchi, Laurent Fanton, Herve Delingette, Nicholas Ayache, and Pierre Croisille. Human Statistical Atlas of Cardiac Fiber Architecture from DT-MRI. In Proceedings of Intl. Soc. Mag. Reson. Med. (ISMRM) 2011, volume 19, pages 280, May 2011. [bibtex-entry]



12. Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, and Xavier Pennec. Mapping the effects of A$\beta_{1-42}$ levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fields. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 6892 of LNCS, pages 663-670, 2011. Springer. [bibtex-entry]



13. Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Schilds Ladder for the parallel transport of deformations in time series of images. In G. Szekely and H. Hahn, editors, Proceedings of Information Processing in Medical Imaging (IPMI'11), volume 6801 of LNCS, pages 463-474, 2011. Note: Honorable Mention (runner-up) for the Erbsmann Award. [bibtex-entry]



14. Marco Lorenzi and Xavier Pennec. Geodesics, parallel transport & one-parameter subgroups. In 3rd MICCAI workshop on Mathematical Foundations of Computational Anatomy Workshop, September 2011. [bibtex-entry]



15. Marco Lorenzi, Xavier Pennec, and Giovanni B. Frisoni. Monitoring the brain's longitudinal changes in clinical trials for Alzheimers disease: a robust and reliable non-rigid registration framework. In Alzheimer's Association 2011 International Conference on Alzheimer's Disease (AAICAD), 2011. [bibtex-entry]



16. Jan Margeta, Ezequiel Geremia, Antonio Criminisi, and Nicholas Ayache. Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. In Proceedings of STACOM Workshop at MICCAI 2011, September 2011. Springer. [bibtex-entry]



17. Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-Andre Weber, Nicholas Ayache, and Polina Golland. A Generative Approach for Image-Based Modeling of Tumor Growth. In G. Szekely and H. Hahn, editors, Proceedings of Information Processing in Medical Imaging (IPMI'11), LNCS 6801, pages 13p, 2011. [bibtex-entry]



18. Xavier Pennec and Marco Lorenzi. Which parallel transport for the statistical analysis of longitudinal deformations?. In Colloque GRETSI '11, September 2011. [bibtex-entry]



19. Mihaela Pop, Maxime Sermesant, Jean-Marc Peyrat, Eugene Crystal, Sudip Ghate, Tommaso Mansi, Ilan Lashevsky, Beiping Qiang, Elliot R. McVeigh, Nicholas Ayache, and Graham A. Wright. A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation. In FIMH, pages 195-205, 2011. [bibtex-entry]



20. Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Eric Saloux, Pascal Allain, Pascal Cathier, Patrick Etyngier, Nicolas Villain, and Nicholas Ayache. Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS, Toronto, Canada, pages 8p, September 2011. Springer, Heidelberg. [bibtex-entry]



21. J. Relan, M. Sermesant, H. Delingette, and N. Ayache. Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI. In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, pages 14-22, 2011. [bibtex-entry]



22. Christof Seiler, Xavier Pennec, and Mauricio Reyes. Geometry-Aware Multiscale Image Registration Via OBBTree-Based Polyaffine Log-Demons. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2011 (MICCAI), volume 6892 of LNCS, pages 631-638, September 2011. Springer, Heidelberg. Note: Young Scientist Award. [bibtex-entry]



23. Christof Seiler, Xavier Pennec, Lucas Ritacco, and Mauricio Reyes. Femur Specific Polyaffine Model to Regularize the Log-Domain Demons Registration. In Benoit M. Dawant and David R. Haynor, editors, Proceedings of SPIE Medical Imaging '11, volume 7962, pages Paper 7962-15, January 2011. SPIE Publishing. ISBN: 9780819485045. [bibtex-entry]



24. Viviana Siless, Pamela Guevara, Xavier Pennec, and Pierre Fillard. Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons. In Tianming Liu, Dinggang Shen, Luis Ibanez, and Xiaodong Tao, editors, Multimodal Brain Image Analysis (First Int. MICCAI Workshop on), volume 7012 of Lecture Notes in Computer Science, pages 10-18, 2011. Springer. ISBN: 978-3-642-24445-2. Keyword(s): Registration - neural fibers - diffeomorphism - Demons Algorithm - intensity-base registration - tensor-base registration. [Abstract] [bibtex-entry]



25. Stefan Sommer, François Lauze, Mads Nielsen, and Xavier Pennec. A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description Across Space and Scales. In Gabor Szekely and Horst Hahn, editors, Proceedings of Information Processing in Medical Images IPMI'11, volume 6801 of LNCS, pages 624-635, July 2011. Springer. [bibtex-entry]



26. Stefan Sommer, François Lauze, Mads Nielsen, and Xavier Pennec. Kernel Bundle EPDiff: Evolution Equations for Multi-Scale Diffeomorphic Image Registration. In A.M. Bruckstein, B. ter Haar Romeny, A.M. Bronstein, and M.M. Bronstein, editors, Scale Space and Variational Methods in Computer Vision, volume 6667 of Lecture Notes in Computer Science, Ein-Gedi, Israël, June 2011. Springer. [Abstract] [bibtex-entry]

1. Barbara André, Tom Vercauteren, Anna M. Buchner, Muhammad Waseem Shahid, Michael B. Wallace, and Nicholas Ayache. An image retrieval approach to setup difficulty levels in training systems for endomicroscopy diagnosis. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), number 6362 of Lecture Notes in Computer Science, Beijing, China, pages 480-487, September 2010. Springer. [bibtex-entry]



2. Barbara André, Tom Vercauteren, Michael B. Wallace, Anna M. Buchner, and Nicholas Ayache. Endomicroscopic video retrieval using mosaicing and visual words. In Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), pages 1419-1422, 2010. IEEE. [bibtex-entry]



3. S. Bauer, Christof Seiler, T. Bardyn, P. Büchler, and Mauricio Reyes. Atlas-Based Segmentation of Brain Tumor Images Using a Markov Random Field-Based Tumor Growth Model and Non-Rigid Registration. In EMBC, September 2010. [bibtex-entry]



4. S. Bonaretti, M. Kistler, C. Seiler, M. Reyes, and P. Büchler. Combined Statistical Model of Bone Shape and Mechanical Properties for Bone and Implant Modeling. In CMBBE, February 2010. [bibtex-entry]



5. Caroline Brun, Natasha Leporé, Y.-Y. Chou, Xavier Pennec, Greig de Zubicaray, K.L. McMahon, M.J. Wright, James C. Gee, and Paul M. Thompson. A 3D Statistical Fluid Registration Algorithm. In Workshop on Machine Learning in Medical Imaging (MLMI'2010), Beijing, September 2010. [bibtex-entry]



6. Caroline Brun, Natasha Leporé, Xavier Pennec, Y.-Y. Chou, A.D. Lee, M. Barysheva, Greig de Zubicaray, K.L. McMahon, M.J. Wright, and Paul M. Thompson. Statistically assisted fluid image registration algorithm - SAFIRA. In Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), pages 364-367, 2010. IEEE. [bibtex-entry]



7. Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, and José Braga. Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registration. In Miccai Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, Beijing, China, September 2010. [bibtex-entry]



8. Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache, and José Braga. Measuring the inter-species variability of endocast growth using shape regression and spatiotemporal registration. In Abstracts of the 79-th annual meeting of the American Assoc. of Physical Anthropologists (AAPA), April 2010, Albuquerque, pages 78-79, 2010. [bibtex-entry]



9. Vincent Garcia, Olivier Commowick, and Grégoire Malandain. A Robust and Efficient Block Matching Framework for Non Linear Registration of Thoracic CT Images. In Grand Challenges in Medical Image Analysis (MICCAI workshop), Beijing, China, September 2010. [bibtex-entry]



10. Vincent Garcia, Tom Vercauteren, Grégoire Malandain, and Nicholas Ayache. Diffeomorphic demons and the EMPIRE10 challenge. In Grand Challenges in Medical Image Analysis (MICCAI workshop), Beijing, China, September 2010. [bibtex-entry]



11. Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



12. V. Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, and M. de Bruijne. Lung CT registration combining intensity, curves and surfaces. In Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), pages 340-343, 2010. IEEE. [bibtex-entry]



13. Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, and Fred A. Hamprecht. A survey on learning tumor classifier from noisy annotations by probabilistic graphical models. In MICCAI Workshop on Medical Computer Vision (MICCAI-MCV'10), Beijing, China, September 2010. [bibtex-entry]



14. Hans Lamecker and Xavier Pennec. Atlas to Image-with-Tumor Registration based on Demons and Deformation Inpainting. In Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors - From Qualitative to Quantitative (CIBT'2010), Beijing, September 2010. [bibtex-entry]



15. N. Lepore, AA Joshi, RM. Leahy, CC Brun, YY Chou, X. Pennec, AD Lee, M. Barysheva, GI de Zubicaray, MJ. Wright, KL. McMahon, and AW Toga. New Combined Surface and Volume Registration. In Proc. of SPIE 2010, volume 7623, pages 76231E-76231E-9, 2010. [bibtex-entry]



16. Marco Lorenzi, Nicholas Ayache, G. Frisoni, and Xavier Pennec. 4D registration of serial brain MR's images: a robust measure of changes applied to Alzheimer's disease. In Miccai Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, Beijing, China, September 2010. Note: Best Oral Presentation award. [bibtex-entry]



17. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images. In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), part II, volume 6362 of LNCS, Beijing, China, pages 652-659, September 2010. [bibtex-entry]



18. Tommaso Mansi, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Nicholas Ayache, and Younes Boudjemline. Modèles numériques pour la simulation et la prédiction de la fonction cardiaque. In Congrès de la Société Francaise de Pédiatrie et de l'Association des Pédiatres de Langue Française (APLF), 2010. Note: Archives de Pédiatrie 17(6):611-2, PMID: 20654804. [bibtex-entry]



19. Stéphanie Marchesseau, T. Heimann, Simon Chatelin, Rémy Willinger, and Hervé Delingette. Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



20. Kristin McLeod, Alfonso Caiazzo, Miguel A. Fernández, Tommaso Mansi, Irene E. Vignon-Clementel, Maxime Sermesant, Xavier Pennec, Younes Boudjemline, and Jean-Frederic Gerbeau. Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'10), volume 6364 of LNCS, Beijing, pages 95-104, September 2010. Springer. [bibtex-entry]



21. Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, and Polina Golland. A generative model for brain tumor segmentation in multi-modal images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



22. Franck Michel, Alban Gaignard, Farooq Ahmad, Christian Barillot, Benedicte Batrancourt, Michel Dojat, Bernard Gibaud, Pascal Girard, David Godard, Gilles Kassel, Diane Lingrand, Grégoire Malandain, Johan Montagnat, Mélanie Pelegrini-Issac, Xavier Pennec, Javier Rojas Balderrama, and Bacem Wali. Grid-wide neuroimaging data federation in the context of the NeuroLOG project. In Proc. of HealthGrid Conference, volume 159 of Studies in Health Technology and Informatics, pages 112-123, 2010. [bibtex-entry]



23. Erik Pernod, Maxime Sermesant, Jatin Relan, and Hervé Delingette. Interactive real time simulation of cardiac radio-frequency ablation. In Proc. of Eurographics Workshop on Visual Computing for Biology and Medicine (2010) (VCBM'2010), Leipzig, August 2010. Note: Best Paper Award. [bibtex-entry]



24. Adityo Prakosa, Maxime Sermesant, Hervé Delingette, Eric Saloux, Pascal Allain, Pascal Cathier, Patrick Etyngier, Nicolas Villain, and Nicholas Ayache. Non-Invasive Activation Times Estimation using 3D Echocardiography. In Proc. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function + a Cardiac Electrophysiological Simulation Challenge (STACOM+CESC'10), volume 6364 of LNCS, Beijing, September 2010. Springer. [bibtex-entry]



25. Liliane Ramus, Olivier Commowick, and Grégoire Malandain. Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces. In Tianzi Jiang, Nassir Navab, Josien P.W. Pluim, and Max A. Viergever, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'10), volume 6363 of Lecture Notes in Computer Science, Beijing, China, pages 155-162, September 2010. Springer. [bibtex-entry]



26. Liliane Ramus and Grégoire Malandain. Assessing Selection Methods in the Context of Multi-atlas Based Segmentation. In Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), Rotterdam, The Netherlands, April 2010. IEEE. [bibtex-entry]



27. Liliane Ramus and Grégoire Malandain. Multi-atlas based segmentation: Application to the head and neck region for radiotherapy planning. In MICCAI Workshop Medical Image Analysis for the Clinic - A Grand Challenge, Beijing, China, September 2010. [bibtex-entry]



28. Jatin Relan, Phani Chinchapatnam, Maxime Sermesant, Kawal Rhode, Hervé Delingette, Reza Razavi, and Nicholas Ayache. Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. [bibtex-entry]



29. Jatin Relan, M. Pop, Hervé Delingette, G.A. Wright, Nicholas Ayache, and Maxime Sermesant. Personalisation of a 3D Cardiac Electrophysiology Model for Ventricular Myocardium using Optical Mapping and MRI. In MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM) and a Cardiac Electrophysiological Simulation Challenge (CESC'10), volume 6364 of LNCS, 2010. Springer. [bibtex-entry]



30. Aldo C. Rinaldi, P.D. Lambiase, Maxime Sermesant, Phani Chinchapatnam, S. Rhode, Kawal, Simon B. Duckett, Anoop Shetty, Radomir Chabiniok, Tommaso Mansi, Florence Billet, Jean-Marc Peyrat, Hervé Delingette, Philippe Moireau, Michel Sorine, Dominique Chapelle, Nicholas Ayache, Matthew Ginks, and Reza Razavi. Biophysical Modelling To Predict Acute Hemodynamic Response To Cardiac Resynchronization Therapy In Human. In Heart Rhythm 2010 : 31st Annual Scientific Sessions, Denver, États-Unis, 2010. [bibtex-entry]



31. Christof Seiler, Xavier Pennec, and Mauricio Reyes. Parametric regression of 3D medical images through the exploration of non-parametric regression models. In Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging 2010 (ISBI'10), pages 452-455, 2010. IEEE. [bibtex-entry]



32. Andrew Sweet and Xavier Pennec. A Log-Euclidean Statistical Analysis of DTI Brain Deformations. In Proc. of MICCAI Workshop on Computational Diffusion MRI 2010, Beijing, China, September 2010. Keyword(s): diffusion tensor imaging, computational anatomy, diffeomorphic registration, exponential map. [bibtex-entry]



33. Andrew Sweet and Xavier Pennec. Log-Domain Diffeomorphic Registration of Diffusion Tensor Images. In Proc. of Workshop on Biomedical Image Registration 2010, volume 6204 of LNCS, Lübeck, Germany, pages 198-209, July 2010. Springer. Keyword(s): diffusion tensor imaging, computational anatomy, diffeomorphic registration, exponential map. [bibtex-entry]



34. Nicolas Toussaint, Christian T. Stoeck, Sebastian Kozerke, Maxime Sermesant, and Philip G. Batchelor. In-vivo Human 3D Cardiac Fibre Architecture: Reconstruction Using Curvilinear Interpolation of Diffusion Tensor Images. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'10), LNCS, Beijing, China, September 2010. Springer. [bibtex-entry]



35. Nicolas Toussaint, Christian T. Stoeck, Maxime Sermesant, Sebastian Kozerke, and Philip G. Batchelor. Three-dimensional Prolate Spheroidal Extrapolation for Sparse DTI of the In-vivo Heart. In Book of Abstracts, International Society in Magnetic Resonance in Medicine (ISMRM'10), Stockholm, 2-7 June 2010. [bibtex-entry]



36. Ken C. L. Wong, Florence Billet, Tommaso Mansi, R. Chabiniok, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac motion estimation using a proactive deformable model: evaluation and sensitivity analysis. In MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM) and a Cardiac Electrophysiological Simulation Challenge (CESC'10), volume 6364 of LNCS, pages 154-163, 2010. Springer. [bibtex-entry]

1. Barbara André, Tom Vercauteren, Aymeric Perchant, Michael B. Wallace, Anna M. Buchner, and Nicholas Ayache. Endomicroscopic image retrieval and classification using invariant visual features. In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09), Boston, MA, pages 346-349, August 2009. IEEE. [bibtex-entry]



2. Barbara André, Tom Vercauteren, Aymeric Perchant, Michael B. Wallace, Anna M. Buchner, and Nicholas Ayache. Introducing space and time in local feature-based endomicroscopic image retrieval. In Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'09), volume 5853 of Lecture Notes in Computer Science, pages 18-30, February 2009. Springer. [bibtex-entry]



3. Florence Billet, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 376-385, 3-5 June 2009. [bibtex-entry]



4. R. Blanc, Mauricio Reyes, Christof Seiler, and G. Székely. Conditional Variability of Statistical Shape Models Based on Surrogate Variables. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2009 (MICCAI), volume 5762 of LNCS, pages 84-91, September 2009. Springer, Heidelberg. [bibtex-entry]



5. C.C. Brun, N. Leporé, X. Pennec, Yi-Yu Chou, A.D. Lee, M. Barysheva, G.I. de Zubicaray, K.L. McMahon, M.J. Wright, A.W. Toga, and P.M. Thompson. A Lagrangian formulation for statistical fluid registration. In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09), pages 975-978, 2009. IEEE. [bibtex-entry]



6. François Chung and Hervé Delingette. Multimodal Prior Appearance Models based on Regional Clustering of Intensity Profiles. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II, volume 5762 of Lecture Notes in Computer Science, London, UK, pages 1051-1058, September 2009. Springer. [bibtex-entry]



7. François Chung, Jérôme Schmid, Olivier Clatz, Nadia Magnenat-Thalmann, and Hervé Delingette. Reconstruction 3D des structures anatomiques des membres inférieurs. In ORASIS'09, June 2009. [bibtex-entry]



8. Olivier Commowick, Simon K. Warfield, and Grégoire Malandain. Using Frankenstein's Creature Paradigm to Build a Patient Specific Atlas. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II, volume 5762 of Lecture Notes in Computer Science, London, UK, pages 993-1000, September 2009. Springer. [bibtex-entry]



9. Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. A Statistical Model of White Matter Fiber Bundles based on Currents. In Jerry L. Prince, Dzung L. Pham, and Kyle J. Myers, editors, Proceedings of Information Processing in Medical Imaging (IPMI'09), volume 5636 of LNCS, pages 114-125, 2009. [bibtex-entry]



10. Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, and Nicholas Ayache. Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I, volume 5761 of Lecture Notes in Computer Science, London, UK, pages 297-304, September 2009. Springer. [bibtex-entry]



11. V. Gorbunova, Stanley Durrleman, P. Lo, Xavier Pennec, and M. de Bruijne. Curve- and surface-based registration of lung CT images via currents. In M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J.M. Kuhnigk, C. Lorenz, J.R. McClelland, K. Mori, A.P. Reeves, and J. Reinhardt, editors, Proc. of Second International Workshop on Pulmonary Image Analysis, London United Kingdom, pages 15-25, 2009. [bibtex-entry]



12. Tobias Heimann, François Chung, Hans Lamecker, and Hervé Delingette. Subject-Specific Ligament Models: Towards Real-Time Simulation of the Knee Joint. In Computational Biomechanics for Medicine IV Workshop 2009, September 2009. [bibtex-entry]



13. Heike Hufnagel, Jan Ehrhardt, Xavier Pennec, and Heinz Handels. Application of a Probabilistic Statistical Shape Model to Automatic Segmentation. In World Congress on Medical Physics and Biomedical Engineering, WC 2009, München, volume 25/4 of IFMBE Proceedings, pages 2181-2184, 2009. Springer. [bibtex-entry]



14. Heike Hufnagel, Jan Ehrhardt, Xavier Pennec, Alexander Schmidt-Richberg, and Heinz Handels. Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities. In Proc. of MICCAI Workshop Probabilistic Model for Medical Image Analysis (PMMIA'09), 2009. [bibtex-entry]



15. D. Kainmüller, Hans Lamecker, H. Seim, M. Zinser, and S. Zachow. Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor, editors, Proc. Medical Image Computing and Computer Assisted Intervention, volume 5762 of Lecture Notes in Computer Science, pages 76-83, 2009. Springer. [bibtex-entry]



16. Hans Lamecker, Tommaso Mansi, Jatin Relan, Florence Billet, Maxime Sermesant, Nicholas Ayache, and Hervé Delingette. Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations. In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM09), London United Kingdom, pages 149-158, 2009. Keyword(s): elements, modeling, mesh quality, mesh size control. [Abstract] [bibtex-entry]



17. Tommaso Mansi, Stanley Durrleman, Boris Bernhardt, Maxime Sermesant, Hervé Delingette, Ingmar Voigt, Philipp Lurz, Andrew M Taylor, Julie Blanc, Younes Boudjemline, Xavier Pennec, and Nicholas Ayache. A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'09), volume 5761 of Lecture Notes in Computer Science, London, UK, pages 214-221, September 2009. Springer. [bibtex-entry]



18. Tommaso Mansi, Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Julie Blanc, Younes Boudjemline, and Nicholas Ayache. Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 201-210, 3-5 June 2009. [bibtex-entry]



19. Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Jay Detsky, _Yuesong Yang, Paul Fefer, Elliot McVeigh, Alexander Dick, Nicholas Ayache, and Graham Wright. Characterization of Post-infarct Scars in a Porcine Model - a Combined Experimental and Theoretical Study. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 1-10, 3-5 June 2009. [bibtex-entry]



20. Liliane Ramus and Grégoire Malandain. Using consensus measures for atlas construction. In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09), Boston, MA, July 2009. [bibtex-entry]



21. Jatin Relan, Maxime Sermesant, Hervé Delingette, Mihaela Pop, Graham Wright, and Nicholas Ayache. Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'09), Boston, MA, pages 1027-1030, July 2009. Keyword(s): bioelectric phenomena, biomedical MRI, biomedical optical imaging, cardiology, image resolution, medical image processing, physiological modelsAliev-Panfilov model, MRI, cardiac models, depolarisation, electrophysiology, optical imaging, phenomenological model, porcine healthy heart, repolarisation, spatial resolution, temporal resolution. [bibtex-entry]



22. Jatin Relan, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Michel Sorine, Graham Wright, and Nicholas Ayache. Parameter Estimation of a 3D Cardiac Electrophysiology Model Including the Restitution Curve Using Optical and MR Data. In Olaf Dössel and Wolfgang C. Schlegel, editors, World Congress on Medical Physics and Biomedical Engineering, volume 25/IV of IFMBE Proceedings, Munich, Germany, pages 1716-1719, September 2009. Springer. [bibtex-entry]



23. Jatin Relan, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Michel Sorine, Graham Wright, and Nicholas Ayache. Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data. In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling - CI2BM09, London, UK, pages 19-27, 2009. [bibtex-entry]



24. Tammy Riklin-Raviv, Bjoern H. Menze, Koen Van Leemput, Bram Stieltjes, Marc-André Weber, Nicholas Ayache, William M. Wells, and Polina Golland. Joint segmentation via patient-specific latent anatomy model. In MICCAI Workshop on Probabilistic Methods in Medical Image Analysis (PMMIA'09)), London, UK, September 2009. [bibtex-entry]



25. Mert Sabuncu, Boon Thye Thomas Yeo, Tom Vercauteren, Koen Van Leemput, and Polina Golland. Asymmetric Image-Template Registration. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I, volume 5761 of Lecture Notes in Computer Science, London, UK, pages 565-573, September 2009. Springer. Note: PMID:20426033. [bibtex-entry]



26. Maxime Sermesant, Florence Billet, Radomir Chabiniok, Tommaso Mansi, Phani Chinchapatnam, Philippe Moireau, Jean-Marc Peyrat, Kawal Rhode, Matt Ginks, Pier Lambiase, Simon Arridge, Hervé Delingette, Michel Sorine, Aldo Rinaldi, Dominique Chapelle, Reza Razavi, and Nicholas Ayache. Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy. In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09), volume 5528 of LNCS, pages 239-248, 3-5 June 2009. [bibtex-entry]



27. N. Toussaint, S. Durrleman, M. Sermesant, S. Kozerke, and P. Batchelor. Error Assessment on myocardial fiber orientations from DTI measurements. In Book of Abstracts, European Society of Magnetic Resonance in Medicine (ESMRMB) 26th Annual Scientific Meeting, volume 22, Antalya, Turkey, pages 59, 2009. [bibtex-entry]

1. Barbara André and Hervé Delingette. Versatile design of changing mesh topologies for surgery simulation. In Fourth International Symposium on BioMedical Simulation (ISBMS'08), volume 5104 of Lecture Notes in Computer Science, London, UK, pages 147-156, July 2008. Springer. [bibtex-entry]



2. Florence Billet, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps. In K. Miller and P.M.F. Nielsen, editors, Proc. of the Workshop on Computational Biomechanics for Medicine III. (Workshop MICCAI-2008), September 2008. [bibtex-entry]



3. Caroline Brun, Natasha Leporé, Xavier Pennec, Yi-Yu Chou, Agatha D. Lee, Marina Barysheva, Greig I. de Zubicaray, Matthew Meredith, Katie McMahon, Margaret J. Wright, Arthur W. Toga, and Paul M. Thompson. A tensor-based morphometry study of genetic influences on brain structure using a new fluid registration method. In Dimitris Metaxas and Leon Axel, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5242 of Lecture Notes in Computer Science, New York, USA, pages 914-921, September 2008. Springer. [bibtex-entry]



4. Caroline Brun, Natasha Leporé, Xavier Pennec, Yi-Yu Chou, Agatha D. Lee, Greig I. de Zubicaray, Katie McMahon, Margaret J. Wright, Marina Barysheva, Arthur W. Toga, and Paul M. Thompson. A new registration method based on Log-Euclidean Tensor metrics and its application to genetic studies. In Proc. of the 2008 IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro (ISBI'08), Paris, France, May 14-17, pages 1115-1118, 2008. [bibtex-entry]



5. Olivier Commowick, Pierre Fillard, Olivier Clatz, and Simon K. Warfield. Detection of DTI White Matter Abnormalities in Multiple Sclerosis Patients. In Dimitris Metaxas and Leon Axel, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5241 of Lecture Notes in Computer Science, New York, USA, pages 975-982, September 2008. Springer. [Annotation] [bibtex-entry]



6. Hervé Delingette. Biquadratic and Quadratic Springs for Modeling St Venant Kirchhoff Materials. In Fourth International Symposium on BioMedical Simulation (ISBMS'08), volume 5104 of Lecture Notes in Computer Science, London, UK, pages 40-48, July 2008. Springer. [bibtex-entry]



7. Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. A Forward Model to Build Unbiased Atlases from Curves and Surfaces. In X. Pennec and S. Joshi, editors, Proc. of the International Workshop on the Mathematical Foundations of Computational Anatomy (MFCA-2008), September 2008. [bibtex-entry]



8. Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. Sparse Approximation of Currents for Statistics on Curves and Surfaces. In Dimitris Metaxas, Leon Axel, Gábor Székely, and Gabor Fichtinger, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), Part II, volume 5242 of LNCS, New-York, USA, pages 390-398, September 2008. Springer. [bibtex-entry]



9. Tristan Glatard, Johan Montagnat, and Xavier Pennec. A Probabilistic Model to Analyse Workflow Performance on Production Grids. In 8th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'08), pages 510-517, May 2008. IEEE. [bibtex-entry]



10. Tristan Glatard, Johan Montagnat, and Xavier Pennec. A framework for evaluating the impact of compression on registration algorithms without gold standard. In International Conference on Image Processing, pages 2912-2915, 2008. [bibtex-entry]



11. Monica Hernandez, Salvador Olmos, and Xavier Pennec. Comparing algorithms for diffeomorphic registration: Stationary LDDMM and Diffeomorphic Demons. In X. Pennec and S. Joshi, editors, Proc. of the International Workshop on the Mathematical Foundations of Computational Anatomy (MFCA-2008), September 2008. [bibtex-entry]



12. Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Nicholas Ayache, and Heinz Handels. A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities. In Springer, editor, Bildverarbeitung für die Medizin 2008, volume 14 of Informatik aktuell, pages 277-282, 2008. [bibtex-entry]



13. H. Hufnagel, X. Pennec, J. Ehrhardt, N. Ayache, and H. Handels. Comparison of Statistical Shape Models Built on Correspondence Probabilities and One-to-One Correspondences. In Proc. SPIE Symposium on Medical Imaging '08, volume 6914 of SPIE Conference Series, San Diego, USA, February 2008. [bibtex-entry]



14. Ender Konukoglu, W.M. Wells, S. Novellas, Nicholas Ayache, R. Kikinis, P.M. Black, and K.M. Pohl. Monitoring Slowly Evolving Tumors. In In Proceedings of the IEEE Internation Symposium on Biomedical Imaging: From Nano to Macro (ISBI'08), Paris, France, May 2008. [bibtex-entry]



15. Damien Lepiller, Maxime Sermesant, Mihaela Pop, Hervé Delingette, Graham A. Wright, and Nicholas Ayache. Cardiac Electrophysiology Model Adjustment Using the Fusion of MR and Optical Imaging. In Dimitris N. Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5241 of Lecture Notes in Computer Science, pages 678-685, 2008. Springer. [bibtex-entry]



16. Natasha Leporé, Caroline Brun, Yi-Yu Chou, Agatha D. Lee, Marina Barysheva, Xavier Pennec, Katie McMahon, Matthew Meredith, Greig I. de Zubicaray, Margaret J. Wright, Arthur W. Toga, and Paul M. Thompson. Best individual template selection from deformation tensor minimization. In Proc. of the 2008 IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro (ISBI'08), Paris, France, May 14-17, pages 460-463, 2008. [bibtex-entry]



17. Erik Pernod, Jean-Christophe Souplet, Javier Rojas Balderrama, Diane Lingrand, and Xavier Pennec. Multiple Sclerosis Brain MRI Segmentation Workflow deployment on the EGEE Grid. In MICCAI-Grid Workshop (MICCAI-Grid), New York, NY, USA, pages 55-64, September 2008. [bibtex-entry]



18. Jean-Marc Peyrat, Hervé Delingette, Maxime Sermesant, Xavier Pennec, Chenyang Xu, and Nicholas Ayache. Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons. In Dimitris Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5242 of Lecture Notes in Computer Science, New York, USA, pages 972-979, September 2008. Springer. [bibtex-entry]



19. Jean-Christophe Souplet, Christine Lebrun, Nicholas Ayache, and Grégoire Malandain. A New Evaluation Of The Brain Parenchymal Fraction: Application In Multiple Sclerosis Longitudinal Studies. In Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'08), Paris, France, pages 65-68, May 2008. IEEE. [bibtex-entry]



20. Jean-Christophe Souplet, Christine Lebrun, Nicholas Ayache, and Grégoire Malandain. An Automatic Segmentation of T2-FLAIR Multiple Sclerosis Lesions. In MICCAI-Multiple Sclerosis Lesion Segmentation Challenge Workshop, New York, NY, USA, September 2008. [bibtex-entry]



21. N. Toussaint, T. Mansi, H. Delingette, Nicholas Ayache, and M. Sermesant. An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation. In Proc. Eurographics Workshop on Visual Computing for Biomedicine (VCBM), Delft, The Netherlands, 2008. Keyword(s): Cardiac Simulation, Freeware, Dynamics, Visualization, VTK. [bibtex-entry]



22. Tom Vercauteren, Alexander Meining, François Lacombe, and Aymeric Perchant. Real Time Autonomous Video Image Registration for Endomicroscopy: Fighting The Compromises. In Jose-Angel Conchello, Carol J. Cogswell, and Tony Wilson, editors, Proc. SPIE BIOS - Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XV, volume 6861, San Jose, CA, USA, pages 68610C, January 2008. SPIE. [bibtex-entry]



23. Tom Vercauteren, Xavier Pennec, Aymeric Perchant, and Nicholas Ayache. Symmetric Log-Domain Diffeomorphic Registration: A Demons-based Approach. In Dimitris Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), Part I, volume 5241 of Lecture Notes in Computer Science, New York, USA, pages 754-761, September 2008. Springer. [bibtex-entry]



24. Boon Thye Thomas Yeo, Mert Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, and Polina Golland. Spherical Demons: Fast Surface Registration. In Dimitris Metaxas, Leon Axel, Gabor Fichtinger, and Gábor Székely, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'08), volume 5241 of Lecture Notes in Computer Science, New York, USA, pages 745-753, September 2008. Springer. Note: Source code found here. [bibtex-entry]



25. Boon Thye Thomas Yeo, Tom Vercauteren, Pierre Fillard, Xavier Pennec, Polina Golland, Nicholas Ayache, and Olivier Clatz. DTI Registration with Exact Finite-Strain Differential. In Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'08), Paris, France, May 2008. IEEE. [bibtex-entry]

1. Jérémie Allard, Stéphane Cotin, François Faure, Pierre-Jean Bensoussan, François Poyer, Christian Duriez, Hervé Delingette, and Laurent Grisoni. SOFA: an Open Source Framework for Medical Simulation. In Studies in health technology and informatics, Medicine Meets Virtual Reality (MMVR), pages 13-18, 2007. [bibtex-entry]



2. Caroline Brun, Natasha Leporé, Xavier Pennec, Yi-Yu Chou, Oscar L. Lopez, Howard J. Aizenstein, James T. Becker, Arthur W. Toga, and Paul M. Thompson. Comparison of Standard and Riemannian Fluid Registration for Tensor-Based Morphometry in HIV/AIDS. In Proc. of MICCAI'07 Workshop on Statistical Registration: Pair-wise and Group-wise Alignment and Atlas Formation, Brisbane, Australia, 2007. [bibtex-entry]



3. Franciso Javier Sanchez Castro, Olivier Clatz, Julien Dauguet, Neculai Archip, Jean-Philippe Thiran, and Simon Warfield. Evaluation Of Brain Image Nonrigid Registration Algorithms Based on Log-Euclidean MR-DTI Consistency Measures. In Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07), Metro Washington DC, USA, pages 45-48, 2007. [bibtex-entry]



4. P Chinchapatnam, K Rhode, A. King, G. Gao, Y. Ma, T. Schaeffter, D. Hawkes, R. Razavi, D. Hill, S. Arridge, and M. Sermesant. Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4791 of LNCS, Brisbane, Australia, pages 575-583, October 2007. Springer. [bibtex-entry]



5. Nikos Chrisochoides, Andriy Fedorov, Andriy Kot, Neculai Archip, Daniel Goldberg-Zimring, Dan Kacher, Stephen Whalen, Ron Kikinis, Ferenc Jolesz, Olivier Clatz, Simon K. Warfield, Peter M. Black, and Alexandra Golby. Grid-Enabled Software Environment for Enhanced Dynamic Data-Driven Visualization and Navigation During Image-Guided Neurosurgery. In Proc. 7th International Conference on Computational Science (ICCS), volume 4487 of LNCS, Beijing, China, pages 980-987, May 2007. Springer. [bibtex-entry]



6. Olivier Commowick and Grégoire Malandain. Efficient Selection of the Most Similar Image in a Database for Critical Structures Segmentation. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), Part II, number 4792 of LNCS, Brisbane, Australia, pages 203-210, October 2007. [bibtex-entry]



7. Jimena Costa, Hervé Delingette, and Nicholas Ayache. Automatic Segmentation of the Bladder Using Deformable Models. In Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07), Metro Washington DC, USA, pages 904-907, 2007. [bibtex-entry]



8. Jimena Costa, Hervé Delingette, Sébastien Novellas, and Nicholas Ayache. Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4791 of LNCS, Brisbane, Australia, pages 252-260, October 2007. Springer. [bibtex-entry]



9. H. Delingette, M. Sermesant, J.-M. Peyrat, N. Ayache, K. Rhode, R. Razavi, E. McVeigh, D. Chapelle, J. Sainte-Marie, P. Moireau, M. Fernandez, J.-F. Gerbeau, K. Djabella, Q. Zhang, and M. Sorine. CardioSense3D: Patient-Specific Cardiac Simulation. In Proceedings of IEEE International Conference on Biomedical Imaging: From Nano to Macro (ISBI'07), Metro Washington DC, USA, pages 628-631, 12-15 April 2007. [bibtex-entry]



10. Stanley Durrleman, Xavier Pennec, Alain Trouvé, and Nicholas Ayache. Measuring Brain Variability via Sulcal Lines Registration: a Diffeomorphic Approach. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 4791 of LNCS, Brisbane, Australia, pages 675-682, October 2007. Springer. [bibtex-entry]



11. François Faure, Jérémie Allard, Stéphane Cotin, Paul Neumann, Pierre-Jean Bensoussan, Christian Duriez, Hervé Delingette, and Laurent Grisoni. SOFA: A Modular Yet Efficient Simulation Framework. In Surgetica, 2007. [bibtex-entry]



12. P. Fillard, X. Pennec, P.M. Thompson, and N. Ayache. Evaluating Brain Anatomical Correlations via Canonical Correlation Analysis of Sulcal Lines. In Proc. of MICCAI'07 Workshop on Statistical Registration: Pair-wise and Group-wise Alignment and Atlas Formation, Brisbane, Australia, 2007. [bibtex-entry]



13. Tristan Glatard, Diane Lingrand, Johan Montagnat, and Michel Riveill. Impact of the execution context on Grid job performances. In International Workshop on Context-Awareness and Mobility in Grid Computing (WCAMG07), Rio de Janeiro, pages 713-718, May 2007. IEEE. [bibtex-entry]



14. Tristan Glatard, Johan Montagnat, and Xavier Pennec. Optimizing jobs timeouts on clusters and production grids. In International Symposium on Cluster Computing and the Grid (CCGrid), Rio de Janeiro, pages 100-107, May 2007. IEEE. [bibtex-entry]



15. Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz Handels, and Nicholas Ayache. Point-Based Statistical Shape Models with Probabilistic Correspondences and Affine EM-ICP. In Springer, editor, Bildverarbeitung fuer die Medizin 2007, Informatik aktuell, pages 434-438, March 2007. Springer. Note: Third prize in category best scientific work. Keyword(s): statistical shape models, registration, EM-ICP, probabilistic correspondences. [bibtex-entry]



16. H. Hufnagel, X. Pennec, J. Ehrhardt, H. Handels, and N. Ayache. Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4791 of LNCS, Brisbane, Australia, pages 959-967, October 2007. Springer. [bibtex-entry]



17. E. Konukoglu, O. Clatz, Pierre-Yves Bondiau, Maxime Sermesant, H. Delingette, and N. Ayache. Towards an Identification of Tumor Growth Parameters from Time Series of Images. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 4791 of LNCS, Brisbane, Australia, pages 549-556, October 2007. Springer. [bibtex-entry]



18. E. Konukoglu, M. Sermesant, O. Clatz, J.-M. Peyrat, H. Delingette, and N. Ayache. A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. In Proceedings of the 20th International Conference on Information Processing in Medical Imaging (IPMI'07), volume 4584 of LNCS, pages 686-699, 2-6 July 2007. [bibtex-entry]



19. J. L. Landabaso, T. Mansi, C. Molina, K. Zangelin, P. Enfedaque, J. Canadas, and L. Lizcano. A 3D Videoconferencing System with 2D Backwards Compatibility. In IEEE, editor, Proc. 3DTV Conference 2007, pages 1-4, 2007. [bibtex-entry]



20. Natasha Leporé, Caroline Brun, Xavier Pennec, Yi-Yu Chou, Oscar L. Lopez, Howard J. Aizenstein, James T. Becker, Arthur W. Toga, and Paul M. Thompson. Mean Template for Tensor-Based Morphometry using Deformation Tensors. In Nicholas Ayache, Sébastien Ourselin, and Anthony Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4792 of LNCS, Brisbane, Australia, pages 826-833, October 2007. Springer. [bibtex-entry]



21. Clémentine Nemo, Tristan Glatard, Mireille Blay-Fornarino, and Johan Montagnat. Merging overlapping orchestrations: an application to the Bronze Standard medical application. In International Conference on Services Computing (SCC 2007), Salt Lake City, Utah, USA, pages 364-371, July 2007. IEEE Computer Engineering. [bibtex-entry]



22. Stephane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Clinical Evaluation of a Respiratory Gated Guidance System for Liver Punctures. In Nicholas Ayache, Sébastien Ourselin, and Anthony J. Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4792 of Lecture Notes in Computer Science, Brisbane, Australia, pages 77-85, October 2007. Springer. [bibtex-entry]



23. Aymeric Perchant, Tom Vercauteren, Fabien Oberrietter, Nicolas Savoire, and Nicholas Ayache. Region Tracking Algorithms on Laser Scanning Devices Applied to Cell Traffic Analysis. In Proceedings IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07), Metro Washington DC, USA, pages 260-263, April 2007. [bibtex-entry]



24. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Statistical Comparison of Cardiac Fibre Architectures. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 413-423, 7-9 June 2007. [bibtex-entry]



25. M. Pop, M. Sermesant, D. Chung, G. Liu, E. McVeigh, E. Crystal, and G. Wright. An experimental framework to validate 3D models of cardiac electrophysiology via optical imaging and MRI. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 100-109, 7-9 June 2007. [bibtex-entry]



26. M. Reyes Aguirre, M.G. Linguraru, K. Marias, N. Ayache, L.-P. Nolte, and M. A. González Ballester. Statistical Shape Analysis via Principal Factor Analysis. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Metro Washington DC, USA, pages 1216-1219, 2007. [bibtex-entry]



27. M. Sermesant, E. Konukoglu, H. Delingette, Y. Coudiere, P. Chinchaptanam, K.S. Rhode, R. Razavi, and N. Ayache. An anisotropic multi-front fast marching method for real-time simulation of cardiac electrophysiology. In Proceedings of Functional Imaging and Modeling of the Heart 2007 (FIMH'07), volume 4466 of LNCS, pages 160-169, 7-9 June 2007. [bibtex-entry]



28. N. Toussaint, M. Sermesant, and P. Fillard. vtkINRIA3D: A VTK Extension for Spatiotemporal Data Synchronization, Visualization and Management. In Proc. of Workshop on Open Source and Open Data for MICCAI, Brisbane, Australia, October 2007. [bibtex-entry]



29. N. Toussaint, J.C. Souplet, and P. Fillard. MedINRIA: Medical Image Navigation and Research Tool by INRIA. In Proc. of MICCAI'07 Workshop on Interaction in medical image analysis and visualization, Brisbane, Australia, 2007. [bibtex-entry]



30. Tom Vercauteren, Xavier Pennec, Ezio Malis, Aymeric Perchant, and Nicholas Ayache. Insight Into Efficient Image Registration Techniques and the Demons Algorithm. In Proc. Information Processing in Medical Imaging (IPMI'07), volume 4584 of Lecture Notes in Computer Science, Kerkrade, The Netherlands, pages 495-506, July 2007. Springer. [bibtex-entry]



31. Tom Vercauteren, Xavier Pennec, Aymeric Perchant, and Nicholas Ayache. Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy. In Insight Journal -- ISC/NA-MIC Workshop on Open Science at MICCAI 2007, October 2007. Note: Source code available at rlhttp://hdl.handle.net/1926/510. [bibtex-entry]



32. Tom Vercauteren, Xavier Pennec, Aymeric Perchant, and Nicholas Ayache. Non-parametric Diffeomorphic Image Registration with the Demons Algorithm. In Nicholas Ayache, Sébastien Ourselin, and Anthony J. Maeder, editors, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), volume 4792 of Lecture Notes in Computer Science, Brisbane, Australia, pages 319-326, October 2007. Springer. [bibtex-entry]

1. Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. A Log-Euclidean Framework for Statistics on Diffeomorphisms. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, number 4190 of LNCS, pages 924-931, 2-4 October 2006. Keyword(s): Non-rigid registration, Lie groups, Diffeomorphisms, Log-Euclidean metrics, Magnetic Resonance Imaging. [bibtex-entry]



2. Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration. In J.P.W. Pluim, B. Likar, and F.A. Gerritsen, editors, Proceedings of the Third International Workshop on Biomedical Image Registration (WBIR'06), volume 4057 of LNCS, Utrecht, The Netherlands, pages 120-127, 9 - 11 July 2006. Springer. Keyword(s): Polyaffine transformations, Diffeomorphisms, Non-rigid registration, Multi-affine registration, Lie groups, Log-Euclidean metrics, Magnetic Resonance Imaging. [bibtex-entry]



3. Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. Statistics on Diffeomorphisms in A Log-Euclidean Framework. In X. Pennec and S. Joshi, editors, Proc. of the International Workshop on the Mathematical Foundations of Computational Anatomy (MFCA-2006), pages 16-17, 1st of October 2006. Keyword(s): Non-rigid registration, Lie groups, Diffeomorphisms, Log-Euclidean metrics, Magnetic Resonance Imaging. [bibtex-entry]



4. M. A. Audette, H. Delingette, A. Fuchs, O. Burgert, and K. Chinzei. A topologically faithful, tissue-guided, spatially varying meshing strategy for computing patient-specific head models for endoscopic pituitary surgery simulation. In Studies in health technology and informatics, Medicine Meets Virtual Reality (MMVR), pages 22-27, 2006. [bibtex-entry]



5. Nicholas Ayache, Tom Vercauteren, Grégoire Malandain, Fabien Oberrietter, Nicolas Savoire, and Aymeric Perchant. Processing and Mosaicing of Fibered Confocal Images. In MICCAI Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB'06), October 2006. Note: Invited. [bibtex-entry]



6. Antoine Azar, Chenyang Xu, Xavier Pennec, and Nicholas Ayache. An interactive Intensity- and Feature-Based Non-Rigid Registration Framework for 3D Medical Images. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2006), Crystal Gateway Marriott, Arlington, Virginia, USA, pages 824-827, April 2006. Keyword(s): Spine, variability model, Riemannian geometry. [bibtex-entry]



7. Jonathan Boisvert, Farida Cheriet, Xavier Pennec, Nicholas Ayache, and Hubert Labelle. A Novel Framework for the 3D Analysis of Spine Deformation Modes. In Research into Spinal Deformities, volume 123 of Studies in Health Technology and Informatics, pages 176-182, 2006. [bibtex-entry]



8. Jonathan Boisvert, Farida Cheriet, Xavier Pennec, Nicholas Ayache, and Hubert Labelle. Assessment of Brace Local Action on Vertebrae Relative Poses. In Research into Spinal Deformities, volume 123 of Studies in Health Technology and Informatics, pages 372-378, 2006. [bibtex-entry]



9. Jonathan Boisvert, Xavier Pennec, Nicholas Ayache, Hubert Labelle, and Farida Cheriet. 3D Anatomic Variability Assesment of the Scoliotic Spine Using Statistics on Lie Groups. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2006), Crystal Gateway Marriott, Arlington, Virginia, USA, pages 750-753, April 2006. IEEE. Keyword(s): Spine, variability model, Riemannian geometry. [bibtex-entry]



10. Jonathan Boisvert, Xavier Pennec, Hubert Labelle, Farida Cheriet, and Nicholas Ayache. Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models. In Proc of the IV Conference on Articulated Motion and Deformable Objects, Andratx, Mallorca, Spain, 11-14 July, volume 4069 of LNCS, pages 346-355, 2006. Springer. Note: AMDO best paper award 2006. [bibtex-entry]



11. Nikos Chrisochoides, Andriy Fedorov, Andriy Kot, Neculai Archip, Peter Black, Olivier Clatz, Alexandra Golby, Ron Kikinis, and Simon K. Warfield. Toward Real-Time, Image Guided Neurosurgery Using Distributed and Grid Computing. In SuperComputing06, Tampa, Florida, USA, November 2006. [bibtex-entry]



12. Desmond Chung, Mihaela Pop, Maxime Sermesant, and Graham Wright. Stereo Reconstruction of the Epicardium for Optical Fluorescence Imaging. In MICCAI Workshop on Biophotonics Imaging for Diagnostics and Treatment, pages 33-40, 2006. [bibtex-entry]



13. Olivier Clatz, Stéphane Lanteri, and Serge Piperno. Unstructured mesh solvers for the simulation of electromagnetic wave propagation and induced temperature elevation in living tissues. In 7th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2006. [bibtex-entry]



14. O. Colliot, T. Mansi, P. Besson, N. Bernasconi, and A. Bernasconi. Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries. In 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro (ISBI), pages 323-326, 2006. [Abstract] [bibtex-entry]



15. Olivier Commowick, Vincent Arsigny, Jimena Costa, Nicholas Ayache, and Grégoire Malandain. An Efficient Locally Affine Framework for the Registration of Anatomical Structures. In Proceedings of the Third IEEE International Symposium on Biomedical Imaging (ISBI 2006), Crystal Gateway Marriott, Arlington, Virginia, USA, pages 478-481, April 2006. Keyword(s): Non-rigid registration, Multi-affine registration, Magnetic Resonance Imaging, Polyaffine transformations, Log-Euclidean metrics, Diffeomorphisms. [bibtex-entry]



16. Olivier Commowick and Grégoire Malandain. Evaluation of Atlas Construction Strategies in the Context of Radiotherapy Planning. In Proceedings of the SA2PM Workshop (From Statistical Atlases to Personalized Models), Copenhagen, October 2006. Note: Held in conjunction with MICCAI 2006. Keyword(s): Non-rigid registration, Atlas, Head And Neck. [bibtex-entry]



17. Pierre Fillard, Vincent Arsigny, Xavier Pennec, and Nicholas Ayache. Clinical DT-MRI estimation, smoothing and fiber tracking with log-Euclidean metrics. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2006), Crystal Gateway Marriott, Arlington, Virginia, USA, pages 786-789, April 2006. Keyword(s): DT-MRI, tensor estimation, Riemannian geometry, Log-Euclidean metrics. [bibtex-entry]



18. J. Freund, D. Comaniciu, Y. Ioannis, P. Liu, R. McClatchey, E. Moley-Fletcher, X. Pennec, G. Pongiglione, and X.S. Zhou. Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics. In Proc of Health-Grid 2006, volume 120 of Studies in Health Technology and Informatics, Valancia, Spain, pages 259-270, 2006. [bibtex-entry]



19. Tristan Glatard, David Emsellem, and Johan Montagnat. Generic web service wrapper for efficient embedding of legacy codes in service-based workflows. In Grid-Enabling Legacy Applications and Supporting End Users Workshop (GELA'06), Paris, France, June 19-23, 2006. [bibtex-entry]



20. Tristan Glatard, Johan Montagnat, and Xavier Pennec. An experimental comparison of Grid5000 clusters and the EGEE grid. In Proc of the Workshop on Experimental Grid testbeds for the assessment of large-scale distributed applications and tools (EXPGRID'06), Paris, France, June 19-23, 2006. [bibtex-entry]



21. Tristan Glatard, Johan Montagnat, and Xavier Pennec. Efficient services composition for grid-enabled data-intensive applications. In IEEE, editor, Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC'06), Paris, France, June 19, pages 333-334, June 2006. IEEE. [bibtex-entry]



22. Tristan Glatard, Johan Montagnat, and Xavier Pennec. Medical image registration algorithms assessment: Bronze Standard application enactment on grids using the MOTEUR workflow engine. In Proc. of the HealthGrid conference (HealthGrid'06), Valencia, Spain, June 7-9, volume 120 of Studies in Health Technology and Informatics, pages 93-103, 2006. [bibtex-entry]



23. Tristan Glatard, Johan Montagnat, and Xavier Pennec. Probabilistic and dynamic optimization of job partitioning on a grid infrastructure. In 14th euromicro conference on Parallel, Distributed and network-based Processing (PDP06), Montbéliard-Sochaux, pages 231-238, February 2006. IEEE. [bibtex-entry]



24. Tristan Glatard, Xavier Pennec, and Johan Montagnat. Performance evaluation of grid-enabled registration algorithms using bronze-standards. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part II, volume 4191 of LNCS, pages 152-160, 2-4 October 2006. Springer. [bibtex-entry]



25. Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, and Nicholas Ayache. Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, number 4190 of LNCS, pages 338-346, 2-4 October 2006. Keyword(s): Tumor growth modeling, Glioma, brain tumors, radiotherapy, hamilton jacobi, DT-MRI, DTI, Diffusion Tensor, fisher kolmogorov, F-KPP. [bibtex-entry]



26. M.G. Linguraru and R.D. Howe. Texture-based Segmentation of Instruments in 3D Ultrasound. In E.L. Siegel, E. Krupinski, and M. Sonka, editors, SPIE Medical Imaging '06, 2006. SPIE Publishing. [bibtex-entry]



27. M.G. Linguraru, N.V. Vasilyev, P.J. del Nido, and R.D. Howe. Atrial Septal Defect Tracking in 3D Cardiac Ultrasound. In R. Larsen, M. Nielsen, and M. Sporring, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI'06, volume 4190 of LNCS, pages 596-603, 2006. Springer. [bibtex-entry]



28. Johan Montagnat, Tristan Glatard, and Diane Lingrand. Data composition patterns in service-based workflows. In Workshop on Workflows in Support of Large-Scale Science (WORKS'06), Paris, France, June 2006. [bibtex-entry]



29. Xavier Pennec. Left-Invariant Riemannian Elasticity: a distance on shape diffeomorphisms ?. In Xavier Pennec and Sarang Joshi, editors, 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Copenhagen, Danemark, pages 1-13, October 2006. [Abstract] [bibtex-entry]



30. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Towards a Statistical Atlas of Cardiac Fiber Structure. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, volume 4190 of LNCS, pages 297-304, 2-4 October 2006. Springer. Keyword(s): DT-MRI, DTI, Diffusion Tensor, Log-Euclidean, Cardiac Fiber, Heart, Myocardium, Atlas. [bibtex-entry]



31. Mihaela Pop, Maxime Sermesant, Yves Coudière, J. Graham, M. Bronskill, A. Dick, and Graham Wright. A theoretical model of ventricular reentry and its radiofrequency ablation therapy. In 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI'06), pages 33-36, 2006. [bibtex-entry]



32. Mihaela Pop, Maxime Sermesant, Alexander Dick, John Graham, Yves Coudière, and Graham Wright. Aid of Computer Modelling to Identify Ventricular Reentries due to Infarct Scars. In 15th World Congress in Cardiac Electrophysiology and Cardiac Techniques (Cardiostim'06), 2006. [bibtex-entry]



33. Mihaela Pop, Maxime Sermesant, Alexander Dick, John Graham, Yves Coudière, and Graham Wright. Assessment of Radio-frequency Ablation of Ventricular Arrhythmias Via Magnetic Resonance Imaging and Computer Modelling. In 15th World Congress in Cardiac Electrophysiology and Cardiac Techniques (Cardiostim'06), 2006. [bibtex-entry]

1. Vincent Arsigny, Pierre Fillard, Xavier Pennec, and Nicholas Ayache. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part I, volume 3749 of LNCS, Palm Springs, CA, USA, October 26-29, pages 115-122, 2005. Springer. Keyword(s): DT-MRI, Magnetic Resonance Imaging, Tensors, brain, Riemannian geometry, Lie group, regularization, interpolation, Log-Euclidean metrics. [bibtex-entry]



2. M. A. Audette, H. Delingette, A. Fuchs, O. Burgert, and K. Chinzei. A topologically faithful, tissue-guided, spatially varying meshing strategy for computing patient-specific head models for endoscopic pituitary surgery simulation. In Computer Vision for Biomedical Image Applications (CVBIA), LNCS, Beijing, China, pages 178-188, 2005. [bibtex-entry]



3. Eric Bardinet, Didier Dormont, Grégoire Malandain, Manik Bhattacharjee, Bernard Pidoux, Christian Saleh, Philippe Cornu, Nicholas Ayache, Yves Agid, and Jérôme Yelnik. Retrospective cross-evaluation of an histological and deformable 3D atlas of the basal ganglia on series of Parkinsonian patients treated by deep brain stimulation (DBS). In J. Duncan and G. Gerig, editors, Proceedings of MICCAI'05, volume 3750 of LNCS, Palm Springs, California, pages 385-393, 2005. Springer. [bibtex-entry]



4. Ivan Bricault, Simon DiMaio, Olivier Clatz, Sonia Pujol, Kirby Vosburgh, and Ron Kikinis. Computer-Assisted Interventions on liver: Feasibility of the anchor needle technique for real-time targeting of lesions with respiratory motion. In Surgetica, Chambéry, January 2005. [bibtex-entry]



5. Arnaud Charnoz, Vincent Agnus, Grégoire Malandain, Clément Forest, Mohamed Tajine, and Luc Soler. Liver registration for the follow-up of hepatic tumors. In J. Duncan and G. Gerig, editors, Proceedings of MICCAI'05, volume 3750 of LNCS, Palm Springs, California, pages 155-162, 2005. Springer. [bibtex-entry]



6. Arnaud Charnoz, Vincent Agnus, Grégoire Malandain, Luc Soler, and Mohamed Tajine. Tree Matching Applied to Vascular System. In Luc Brun and Mario Vento, editors, Graph-Based Representations in Pattern Recognition, volume 3434 of LNCS, pages 183-192, 2005. Springer. [bibtex-entry]



7. Arnaud Charnoz, Vincent Agnus, Grégoire Malandain, Luc Soler, and Mohamed Tajine. Vascular system matching validated on the liver. In Gary Christensen and Milan Sonka, editors, Proc. of Information Processing in Medical Imaging 2005 (IPMI'05), volume 3565 of LNCS, Glenwood springs, Colorado, USA, pages 443-455, July 2005. Springer. [bibtex-entry]



8. Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, and Nicholas Ayache. Modélisation macroscopique de la croissance des tumeurs cérébrales. In Congrès Français de Mécanique (CFM), Troyes, August 2005. [bibtex-entry]



9. Olivier Clatz, Hervé Delingette, Ion-Florin Talos, Alexandra J. Golby, Nicholas Ayache, Ron Kikinis, Ferenc A. Jolesz, and Simon K. Warfield. Hybrid Formulation of the Model-Based Non-Rigid Registration Problem to Improve Accuracy and Robustness. In J. Duncan and G. Gerig, editors, Proceedings of MICCAI'05, volume 3750 of LNCS, pages 295-302, October 2005. Springer. [bibtex-entry]



10. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. A level set driven by MR features of focal cortical dysplasia for lesion segmentation. In Medical Image Understanding and Analysis (MIUA), pages 239-242, 2005. [bibtex-entry]



11. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi. Segmentation of Focal Cortical Dysplasia Lesions Using a Feature-Based Level Set. In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'05), volume 3749 of Lecture Notes in Computer Science, Palm Springs (CA), USA, pages 375-382, 2005. Springer. [Abstract] [bibtex-entry]



12. Olivier Commowick, Radu Stefanescu, Pierre Fillard, Vincent Arsigny, Nicholas Ayache, Xavier Pennec, and Grégoire Malandain. Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part II, volume 3750 of LNCS, Palm Springs, CA, USA, October 26-29, pages 927-934, 2005. Springer. Keyword(s): registration, brain, Brain Stem, statistics, validation, Tensors. [Annotation] [bibtex-entry]



13. Pierre Fillard, Vincent Arsigny, Nicholas Ayache, and Xavier Pennec. A Riemannian Framework for the Processing of Tensor-Valued Images. In Ole Fogh Olsen, Luc Florak, and Arjan Kuijper, editors, Deep Structure, Singularities, and Computer Vision (DSSCV), LNCS, pages 112-123, June 2005. Springer. Keyword(s): Tensors, Riemannian geometry, Structure tensors, regularization. [bibtex-entry]



14. Pierre Fillard, Vincent Arsigny, Xavier Pennec, Paul M. Thompson, and Nicholas Ayache. Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability. In Gary Christensen and Milan Sonka, editors, Proc. of Information Processing in Medical Imaging 2005 (IPMI'05), volume 3565 of LNCS, Glenwood springs, Colorado, USA, pages 27-38, July 2005. Springer. Keyword(s): Sucal lines, Riemannian geometry, brain, Modeling of anatomical variability, Tensors. [bibtex-entry]



15. Cécile Germain, Vincent Breton, Patrick Clarysse, Y. Gaudeau, Tristan Glatard, Emmanuel Jeannot, Yannick Legré, Charles Loomis, Johan Montagnat, Jean-Marie Moureau, Angel Osorio, Xavier Pennec, and Romain Texier. Grid-enabling medical image analysis. In proceedings of the IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'05), volume 1, Cardiff, UK, pages 487-495, May 2005. IEEE. [bibtex-entry]



16. Tristan Glatard, Johan Montagnat, and Xavier Pennec. Grid-enabled workflows for data intensive applications. In Proc. 18th IEEE Symp. on Computer Based Medical Systems (CBMS'05), Dublin, Ireland, June 23-24, pages 537-542, 2005. IEEE. [bibtex-entry]



17. M. A. González Ballester, M.G. Linguraru, M. Reyes Aguirre, and N. Ayache. On the Adequacy of Principal Factor Analysis for the Study of Shape Variability. In J.M. Fitzpatrick and J.M. Reinhardt, editors, SPIE Medical Imaging '05, volume 5747, pages 1392-1399, 2005. SPIE Publishing. [bibtex-entry]



18. S. Haïk, D. Galanaud, B.A. Faucheux, N. Privat, I. Laffont-Proust, M.G. Linguraru, N. Ayache, J.J. Hauw, D. Dormont, and J.P. Brandel. Early diagnosis of human TSE by multimodality MRI: Spectroscopic detection of thalamic gliosis in a patient with FFI and normal FLAIR and diffusion-weighted imaging. In Proceedings of Prions 2005: Between Fundamentals and Society's Needs, pages 176, 2005. [bibtex-entry]



19. S. Haïk, D. Galanaud, B.A. Faucheux, N. Privat, M.G. Linguraru, N. Ayache, J.J. Hauw, D. Dormont, and J.P. Brandel. Early diagnosis of human TSE by multimodality MRI: Spectroscopic detection of thalamic gliosis in a patient with FFI and normal FLAIR and diffusion-weighted imaging. In II International Symposium on The New Prion Biology: Basic Science, Diagnosis and Therapy, Venice, Italy, April 2005. [bibtex-entry]



20. Heike Hufnagel, Xavier Pennec, Grégoire Malandain, Hans Handels, and Nicholas Ayache. Non-Linear 2D and 3D Registration Using Block-Matching and B-Splines. In Bildverarbeitung fuer die Medizin 2005, Informatik aktuell, Heidelberg, Germany, pages 325-329, March 2005. Deutsches Krebsforschungszentrum, Springer. [bibtex-entry]



21. M.G. Linguraru, N. Ayache, M.A. González Ballester, E. Bardinet, D. Galanaud, S. Haïk, B.A. Faucheux, P. Cozzone, D. Dormont, and J.P. Brandel. New Ratios for the Detection and Classification of CJD in Multisequence MRI of the Brain. In J. Duncan and G. Gerig, editors, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2005, volume 3750 of LNCS, Palm Springs, USA, pages 492-499, 2005. Springer. [bibtex-entry]



22. M.G. Linguraru, P.M Novotny, and R.D. Howe. Enhancement of Instrument Appearance in Ultrasound Images by Distribution and Spatial Analysis. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2005, Palm Springs, USA, 2005. Note: Short paper. [bibtex-entry]



23. K. Marias, M.G. Linguraru, M.A. González Ballester, S. Petroudi, M. Tsiknakis, and J.M. Brady. Automatic Labelling and BI-RADS Characterisation of Mammogram Densities. In Proceedings of 27th IEEE Engineering in Medicine and Biology Society (EMBS) Annual International Conference, IEEE, Shanghai, China, 2005. [bibtex-entry]



24. Valérie Moreau-Villéger, Hervé Delingette, Maxime Sermesant, Hiroshi Ashikaga, Owen Faris, Elliot McVeigh, and Nicholas Ayache. Estimating Local Apparent Conductivity with a 2-D Electrophysiological Model of the Heart. In Proc. of Functional Imaging and Modeling of the Heart 2005 (FIMH'O5), volume 3504 of LNCS, pages 256-266, June 2005. Springer. [bibtex-entry]



25. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. A complete Augmented Reality Guidance System for Liver Punctures: First Clinical Evaluation. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part I, volume 3749 of LNCS, Palm Springs, CA, USA, October 26-29, pages 539-547, 2005. Springer. [bibtex-entry]



26. P.M. Novotny, M.G. Linguraru, G. Marx, P. Del Nido, and R.D. Howe. Using Real-Time Three-Dimensional Ultrasound to Characterize Mitral Valve Motion. In Proceedings of Biomedical Engineering Society - BMES 2005, Baltimore, USA, pages 1302, 2005. [bibtex-entry]



27. Xavier Pennec, Radu Stefanescu, Vincent Arsigny, Pierre Fillard, and Nicholas Ayache. Riemannian Elasticity: A statistical regularization framework for non-linear registration. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part II, volume 3750 of LNCS, Palm Springs, CA, USA, October 26-29, pages 943-950, 2005. Springer. Keyword(s): registration, statistics, Tensors, Riemannian geometry, brain. [bibtex-entry]



28. Mauricio Reyes, Grégoire Malandain, Jacques Darcourt, and Pierre Malick Koulibaly. Respiratory Motion Correction in Emission Tomography Imaging. In Fully Three-Dimensional Image Reconstruction Meeting in Radiology and Nuclear Medicine, Salt Lake City, Utah, USA, July 2005. [bibtex-entry]



29. Mauricio Reyes, Grégoire Malandain, Pierre Malick Koulibaly, Miguel A. González Ballester, and Jacques Darcourt. Respiratory Motion Correction in Emission Tomography Image Reconstruction. In J. Duncan and G. Gerig, editors, Proceedings of MICCAI'05, Part II, volume 3750 of LNCS, Palm Springs, California, pages 369-376, 2005. Springer. [bibtex-entry]



30. Gilles Scarella, Olivier Clatz, Stéphane Lanteri, Grégory Beaume, Steve Oudot, Jean-Philippe Pons, Serge Piperno, Patrick Joly, and Joe Wiart. Realistic numerical modeling of human head tissues exposure to electromagnetic waves from mobiles phones. In Seventh International Conference on Mathematical and Numerical Aspects of Wave Propagation, Brown University, Rhode Island, June 20-24 2005. [bibtex-entry]



31. M. Sermesant, Y. Coudière, V. Moreau-Villéger, K.S. Rhode, D.L.G Hill, and R. Razavi. A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging. In Proceedings of MICCAI'05, volume 3750 of LNCS, Palm Springs, California, pages 607-615, 2005. Springer. [bibtex-entry]



32. Maxime Sermesant, Philippe Moireau, Oscar Camara, Jacques Sainte-Marie, Rado Andriantsimiavona, Robert Cimrman, Derek L. G. Hill, Dominique Chapelle, and Reza Razavi. Cardiac Function Estimation from MRI Using a Heart Model and Data Assimilation: Advances and Difficulties. In Proc. of Functional Imaging and Modeling of the Heart 2005 (FIMH'O5), volume 3504 of LNCS, pages 325-337, June 2005. Springer. [bibtex-entry]



33. Tom Vercauteren, Aymeric Perchant, Xavier Pennec, and Nicholas Ayache. Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part I, volume 3749 of LNCS, Palm Springs, CA, USA, October 26-29, pages 753-760, October 2005. Springer. [bibtex-entry]



34. Christopher Wagner, Olivier Clatz, Ross Feller, Douglas Perrin, Hervé Delingette, Nicholas Ayache, and Robert Howe. Integrating Tactile and Force Feedback with Finite Element Models. In International Conference on Robotics and Automation (ICRA'05), Barcelona, April 2005. [bibtex-entry]

1. Olivier Clatz, Pierre Yves Bondiau, Hervé Delingette, Grégoire Malandain, Maxime Sermesant, Simon Warfield, and Nicholas Ayache. In Silico Tumor Growth: Application to Glioblastomas. In C. Barillot, D.R. Haynor, and P. Hellier, editors, Proc. of the 7th Int. Conf on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004 (2), volume 3217 of LNCS, Saint-Malo, France, pages 337-345, September 2004. Springer. [bibtex-entry]



2. Olivier Clatz, Hervé Delingette, Ion-Florin Talos, Alexandra Golby, Nicholas Ayache, Ron Kikinis, Ferenc Jolesz, and Simon Warfield. Robust Nonrigid Registration to Capture Brain Shift from Intraoperative MRI. In 5th Interventional MRI Symposium, Cambridge, MA. USA, October 2004. [bibtex-entry]



3. Julien Dauguet, Jean-Francois Mangin, Thierry Delzescaux, and Vincent Frouin. Robust Inter-Slice Intensity Normalization using Histogram Scale-Space Analysis. In Christian Barillot, David Haynor, and Pierre Hellier, editors, Proc. of MICCAI'04, volume 3216 of LNCS, Saint-Malo, France, pages 242-249, September 2004. Springer. [bibtex-entry]



4. Guillaume Dugas-Phocion, Miguel Ángel González Ballester, Christine Lebrun, Stéphane Chanalet, Caroline Bensa, Grégoire Malandain, and Nicholas Ayache. Hierarchical Segmentation of Multiple Sclerosis Lesions in Multi-Sequence MRI. In International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'04), Arlington, VA, USA, April 2004. IEEE. Keyword(s): multiple sclerosis. [bibtex-entry]



5. Guillaume Dugas-Phocion, Miguel Ángel González Ballester, Grégoire Malandain, Christine Lebrun, and Nicholas Ayache. Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-Sequence Brain MRI. In Proc. of MICCAI'04, volume 3216 of Lecture Notes in Computer Science, Saint-Malo, France, pages 26-33, September 2004. Springer. Keyword(s): multiple sclerosis. [bibtex-entry]



6. Guillaume Flandin, Xavier Pennec, Alexis Roche, Will Penny, Nicholas Ayache, and Jean-Baptiste Poline. Multi-subject anatomo-functional classification for activation studies. In NeuroImage (HBM'04), Budapest, Hungary, 2004. [bibtex-entry]



7. Clément Forest, Hervé Delingette, and Nicholas Ayache. Surface Contact and Reaction Force Models for Laparoscopic Simulation. In International Symposium on Medical Simulation, June 2004. [bibtex-entry]



8. Céline Fouard, Grégoire Malandain, Stefen Prohaska, Malte Westerhoff, Francis Cassot, Christophe Mazel, Didier Asselot, and Jean-Pierre Marc-Vergnes. Skeletonization by blocks for large datasets: application to brain microcirculation. In International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'04), Arlington, VA, USA, April 2004. IEEE. [bibtex-entry]



9. Céline Fouard, Grégoire Malandain, Stefen Prohaska, Malte Westerhoff, Francis Cassot, Christophe Mazel, Didier Asselot, and Jean-Pierre Marc-Vergnes. Squelettisation par blocs pour des grands volumes de données 3D: application à la microcirculation cérébrale. In Proc. of RFIA'04, Toulouse, France, 2004. Keyword(s): skeletonisation, large datasets. [bibtex-entry]



10. D. Galanaud, M.G. Linguraru, S. Haïk, D. Dormont, E. Bardinet, B. Faucheaux, P. Cozzone, N. Ayache, and J.P. Brandel. Intérêt de l'IRM Multimodalitaire dand le Diagnostic des Maladies à Prions. In Congrès du G.I.S. Infections à Prions, pages 26, 2004. [bibtex-entry]



11. K. B. Hilger, R. R. Paulsen, and R. Larsen. Markov Random Field Restoration of Point Correspondences for Active Shape Modelling. In SPIE - Medical Imaging (to appear), 2004. Keyword(s): Bayesian statistics, Markov Random Field restoration, 3D statistical shape model, Point Correspondence, Thin Plate Spline Warping, Leave-one-out parameter estimation, Surface Curvature. [bibtex-entry]



12. Derek Hill, Xavier Pennec, Michael Burns, Michael Parkin, Jo Hajnal, Radu Stefanescu, Daniel Rueckert, and Johan Montagnat. Intraoperable Medical Image Registration Grid Service. In Proc. of HealthGrid 2004, Clermont-Ferrand, January 2004. European Commission, DG Information Society. Keyword(s): registration, matching, real time, parallelism. [bibtex-entry]



13. P. Kolesik, C. Fouard, S. Prohaska, and A. McNeill. Automated method for non-destructive 3D visualisation of plant root architecture using X-ray tomography. In 4th International Workshop on Functional-Structural Plant Models, Montpellier, France, pages 27, June 2004. UMR AMAP/CIRAD. [bibtex-entry]



14. Georges Le Goualher, Aymeric Perchant, Magalie Genet, Charlotte Cave, Bertrand Viellerobe, Frederic Berier, Benjamin Abrat, and Nicholas Ayache. Towards Optical Biopsies with an Integrated Fibered Confocal Fluorescence Microscope. In Christian Barillot, David Haynor, and Pierre Hellier, editors, Proc. of MICCAI'04, volume 3217 of LNCS, Saint-Malo, France, pages 761-768, September 2004. Springer. [bibtex-entry]



15. M.G. Linguraru, N. Ayache, E. Bardinet, M.A. González Ballester, D. Galanaud, S. Haïk, B. Faucheaux, J.J. Hauw, J. Chiras, P. Cozzone, D. Dormont, and J.P. Brandel. Détection et Quantification Automatique des Hypersignaux en IRM dans la Maladie de Creutzfeldt-Jakob. In Congrès du G.I.S. Infections à Prions, pages 25, 2004. [bibtex-entry]



16. M.G. Linguraru, M. Brady, and R. English. Foveal Algorithm for the Detection of Microcalcification Clusters: a FROC Analysis. In D.R. Barillot, C.and Haynor and P. Hellier, editors, Medical Image Computing and Computer-Assisted Intervention MICCAI'04, volume 3217 of Lecture Notes in Computer Science, pages 813-820, 2004. Springer. [bibtex-entry]



17. V. Muthurangu, M. Sermesant, A. Taylor, D. Hill, and R. Razavi. A Novel Non-Invasive Method of Pulmonary Vascular Resistence Quantification. In International Society for Magnetic Resonance in Medicine Scientific Meeting, volume 7, pages 559, 2004. [bibtex-entry]



18. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. An Accuracy Certified Augmented Reality System for Therapy Guidance. In Proc. of the 8th European Conference on Computer Vision (ECCV 04), Part III, volume 3023 of LNCS, Prague, pages 79-91, May 2004. Springer. Keyword(s): Augmented reality, 3D/2D registration, uncertainty, validation. [bibtex-entry]



19. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. An Augmented Reality System to Guide Liver Punctures. In Workshop AMI-ARCS 2004 held in conjunction with MICCAI'04, pages 77-86, September 2004. IRISA Rennes. [bibtex-entry]



20. Stéphane Nicolau, Jérôme Schmid, Xavier Pennec, Luc Soler, and Nicholas Ayache. An Augmented Reality and Virtuality Interface for a Puncture Guidance System: Design and Validation on an Abdominal Phantom. In Guang-Zhong Yang and Tianzi Jiang, editors, Proc of the Second Int. Workshop on Medical Imaging and Augmented Reality MIAR 2004, volume 3150 of LNCS, Beijing, China, pages 302-310, August 2004. Springer. [bibtex-entry]



21. R. R. Paulsen, C. Nielsen, S. Laugesen, and R. Larsen. Using a Shape Model in the Design of Hearing Aids. In SPIE - Medical Imaging (to appear), The International Society for Optical Engineering - Medical Imaging, February 2004. Keyword(s): Human Ear Canal Anatomy, Hearing Aid Design, 3D Active Shape Model, Iterative Closest Points, Faceplate Placement. [bibtex-entry]



22. K. Rhode, S. Hegde, M. Sermesant, D. Hill, R. Razavi, D. Rueckert, and G. Sanchez-Ortiz. XMR Guided Cardiac Electrophysiology Study and Radio Frequency Ablation. In SPIE Medical Imaging, 2004. Note: To appear. [bibtex-entry]



23. G.I. Sanchez-Ortiz, M. Sermesant, R. Chandrashekara, K.S. Rhode, R. Razavi, D.L.G. Hill, and D. Rueckert. Detecting the onset of myocardial contraction for establishing inverse electro-mechanical coupling in XMR guided RF ablation. In Proceedings of IEEE International Symposium on Biomedical Imaging, Arlington, USA, pages 1055-1058, 2004. [bibtex-entry]



24. Nicolas Savoire, Georges Le Goualher, Aymeric Perchant, François Lacombe, Grégoire Malandain, and Nicholas Ayache. Measuring Blood Cells Velocity In Microvessels From a Single Image: Application To In Vivo and In Situ Confocal Microscopy. In Proc. ISBI'04, Arlington (USA), pages 456-459, April 2004. Keyword(s): RBC velocity, confocal microscopy. [bibtex-entry]



25. M. Sermesant, K. Rhode, A. Anjorin, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Simulation of the Electromechanical Activity of the Heart using XMR Interventional Imaging. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'04), volume 3217 of Lecture Notes in Computer Science (LNCS), pages 786-794, 2004. Springer. [bibtex-entry]



26. M. Sermesant, K. Rhode, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Electromechanical Modelling of the Myocardium using XMR Interventional Imaging. In Annual SCMR Scientific Sessions (SCMR'04), 2004. [bibtex-entry]



27. M. Sermesant, K. Rhode, S. Hegde, G. Sanchez-Ortiz, D. Rueckert, P. Lambiase, C. Bucknall, D. Hill, and R. Razavi. Modelling the Cardiac Electromechanical Activity for Integration of Electrophysiological Studies with MR. In International Society for Magnetic Resonance in Medicine Scientific Meeting, volume 7, pages 1890, 2004. [bibtex-entry]



28. Luc Soler, Nicholas Ayache, Stéphane Nicolau, Xavier Pennec, Clément Forest, Hervé Delingette, Didier Mutter, and Jacques Marescaux. Virtual Reality, Augmented Reality and Robotics in surgical procedures of the liver. In Th. M. Buzug and T. C. Lueth, editors, Perspectives in Image-guided Surgery. Proceedings of the Scientific Workshop on Medical Robotics, Navigation and Visualization (MRNV) 2004, RheinAhrCampus Remagen, Germany, pages 476-484, March 11-12 2004. World Scientific. [bibtex-entry]



29. Luc Soler, Stéphane Nicolau, Jérôme Schmid, Christophe Koehl, Jacques Marescaux, Xavier Pennec, and Nicholas Ayache. Virtual Reality and Augmented Reality in Digestive Surgery. In Proc. of IEEE International Symposium on Mixed and Augmented Reality (ISMAR'04), pages 278-279, November 2004. [bibtex-entry]



30. Radu Stefanescu, Olivier Commowick, Grégoire Malandain, Pierre-Yves Bondiau, Nicholas Ayache, and Xavier Pennec. Non-Rigid Atlas to Subject Registration with Pathologies for Conformal Brain Radiotherapy. In C. Barillot, D.R. Haynor, and P. Hellier, editors, Proc. of the 7th Int. Conf on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004, volume 3216 of LNCS, Saint-Malo, France, pages 704-711, September 2004. Springer. Keyword(s): registration, non-rigid, conformal radiotherapy, atlas, pathology. [bibtex-entry]



31. Radu Stefanescu, Xavier Pennec, and Nicholas Ayache. A Grid Service for the Interactive Use of a Parallel Non-Rigid Registration Algorithm. In Proc. of HealthGrid 2004, Clermont-Ferrand, January 2004. European Commission, DG Information Society. Keyword(s): registration, matching, real time, parallelism. [bibtex-entry]



32. Jonathan Stoeckel, Nicholas Ayache, Grégoire Malandain, Pierre M. Koulibaly, Klaus P. Ebmeier, and Jacques Darcourt. Automatic Classification of SPECT Images of Alzheimer's Disease Patients and Control Subjects. In Christian Barillot, David Haynor, and Pierre Hellier, editors, Proc. of MICCAI'04, volume 3217 of LNCS, Saint-Malo, France, pages 654-662, September 2004. Springer. [bibtex-entry]

1. J Annese, A. Pitiot, L.D. Dinov, and A.W. Toga. A myelo-architectonic method for the structural classification of cortical areas. In Human Brain Mapping HBM'03, 2003. [bibtex-entry]



2. Vincent Arsigny, Xavier Pennec, and Nicholas Ayache. Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, Part II, volume 2879 of LNCS, Montreal, pages 829-837, November 2003. Springer. Note: MICCAI 2003 Best Student Award in Image Processing and Visualization. PMID: 15948656. [bibtex-entry]



3. M.A. Audette, H. Delingette, A. Fuchs, Y. Koseki, and K. Chinzei. A procedure for computing patient-specific anatomical models for finite element-based surgical simulation. In Seventh Annual Conference of the International Society for Computer Aided Surgery (ISCAS'03), London (UK), June 2003. [bibtex-entry]



4. C. Blondel, G. Malandain, R. Vaillant, and N. Ayache. 4D deformation field of coronary arteries from monoplane rotational X-ray angiography. In Computer Assisted Radiology and Surgery 2003 Proceedings, volume 1256 of ICS, Londres, United Kingdom, June 2003. Elsevier. [bibtex-entry]



5. C. Blondel, G. Malandain, R. Vaillant, F. Devernay, È. Coste-Manière, and N. Ayache. 4D Tomographic Representation of Coronary Arteries From One Rotational X-ray Sequence. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2878 of LNCS, Montreal, Canada, pages 416-423, November 2003. Springer. [Abstract] [bibtex-entry]



6. C. Blondel, R. Vaillant, G. Malandain, and N. Ayache. 3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field. In Yves Bizais, editor, Proceedings of the VIIth International Conference on Fully 3D Reconstruction In Radiology and Nuclear Medicine, Saint-Malo, France, July 2003. [bibtex-entry]



7. P. Cathier and N. Ayache. New Vector Field Regularization Techniques for Nonrigid Registration. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 1-10, 2003. Springer. Keyword(s): registration, regularization. [bibtex-entry]



8. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Détermination d'un modèle biomécanique du cerveau par l'analyse d'images : application à la maladie de Parkinson. In Congrès Français de Mécanique (CFM), 2003. [bibtex-entry]



9. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Patient Specific Biomechanical Model of the Brain: Application to Parkinson's disease procedure. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 321-331, 2003. INRIA Sophia Antipolis, Springer. [bibtex-entry]



10. J. Dauguet, V. Frouin, Y. Cointepas, D. Hervé, N. Ayache, and P. Hantraye. Robust segmentation of the thalamus using Kohonen algorithm from diffusion tensor image. In Proc of Int. Soc. for Magnetic Resonance in Medicine (ISMRM) 11th Scientific meeting, Toronto, 2003. [bibtex-entry]



11. T. Delzescaux, J. Dauguet, F. Condé, R. Maroy, and V. Frouin. Using 3D Non Rigid FFD-Based Method to Register post mortem 3D Histological Data and in vivo MRI of a Baboon Brain. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 965-966, November 2003. Springer. [bibtex-entry]



12. P. Fillard and G. Gerig. Analysis Tool For Diffusion Tensor MR. In Proc. of MICCAI'03, Part II, volume 2879 of LNCS, pages 967-968, November 2003. Springer. [bibtex-entry]



13. P. Fillard, J. Gilmore, W. Lin, J. Piven, and G. Gerig. Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. In Proc of MICCAI'03, Part I, volume 2879 of LNCS, pages 16-23, November 2003. Springer. Note: MICCAI'03 Award: Best Student Paper in Image Analysis. [bibtex-entry]



14. Guillaume Flandin, Will Penny, Xavier Pennec, Nicholas Ayache, and Jean-Baptiste Poline. A multisubject anatomo-functional parcellation of the brain. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. [bibtex-entry]



15. Céline Fouard and Grégoire Malandain. Systematized calculation of optimal coefficients of 3-D chamfer norms. In Ingela Nyström, Gabriella Sanniti di Baja, and Stina Svensson, editors, Proc. of DGCI'03, number 2886 of LNCS, Napoly, Italy, pages 214-223, November 2003. Springer. Keyword(s): chamfer mask, norm constraints anysotropic grid. [bibtex-entry]



16. Miguel Angel González Ballester, Xavier Pennec, and Nicholas Ayache. Generalized Image Models and Their Application as Statistical Models of Images. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, volume 2879 of Lecture Notes in Computer Science, Montreal, Canada, pages 150-157, November 2003. Springer. [bibtex-entry]



17. G. Hamarneh, H. Delingette, and M. Henkelman. 3D segmentation of mouse organs from MR images using deformable simplex mesh models. In International Society for Magnetic Resonance in Medicine, 11th Scientific Meeting (ISMRM'03), Toronto (CA), July 2003. [bibtex-entry]



18. C. Kenwright, E. Bardinet, S.A. Hojjat, G. Malandain, N. Ayache, and A.C.F. Colchester. 2D to 3D Refinement of Post Mortem Optical and MRI Co-Registration. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 935-944, November 2003. Springer. [bibtex-entry]



19. Pierre-Jean Lahaye, Jean-Baptiste Poline, Guillaume Flandin, and Line Garnero. Functional connectivity: studying non-linear, asynchronous interactions between BOLD signals. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. [bibtex-entry]



20. M. G. Linguraru, M. A. González Ballester, and N. Ayache. A Multiscale Feature Detector for Morphological Analysis of the Brain. In Randy E. Ellis and Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention'03, volume 2879 of Lecture Notes in Computer Science, Montreal, Canada, pages 738-745, November 2003. Springer. [bibtex-entry]



21. G. Malandain and E. Bardinet. Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations. In Chris Taylor and Alison Noble, editors, Proceedings of Information Processing in Medical Imaging (IPMI'03), volume 2732 of LNCS, pages 487-498, 2003. Springer. Keyword(s): autoradiography, histology, MRI, matching, fusion. [bibtex-entry]



22. Grégoire Malandain and Eric Bardinet. Intensity compensation within series of images. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 41-49, November 2003. Springer. [Abstract] [bibtex-entry]



23. Stéphane Nicolau, Alain Garcia, Xavier Pennec, Luc Soler, and Nicholas Ayache. Augmented Reality guided radio-frequency tumor ablation. In Proceedings of Augmented and Virtual Reality Workshop (AVIR03), Genève, pages 34-35, 2003. Keyword(s): 3D/2D registration, Augmented reality, validation. [bibtex-entry]



24. Stéphane Nicolau, Alain Garcia, Xavier Pennec, Luc Soler, and Nicholas Ayache. Guidage de ponctions percutanées à l'aide d'un système de vision basé sur une méthode de recalage 3D/2D. In Actes du colloque Imagerie pour les sciences du vivant et de l'ingénieur (IMVIE03), Strasbourg, 2003. Keyword(s): 3D/2D registration, Augmented reality, validation. [bibtex-entry]



25. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Evaluation of a New 3D/2D Registration Criterion for Liver Radio-Frequencies Guided by Augmented Reality. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 270-283, 2003. INRIA Sophia Antipolis, Springer. Keyword(s): 3D/2D registration, Augmented reality, validation. [bibtex-entry]



26. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Vision augmentée de structures anatomiques abdominales recalées par stéréoscopie. In Actes du quatrième colloque francophone. Méthodes et Techniques Optiques pour l'Industrie, volume 1, Belfort, pages 413-418, 2003. [bibtex-entry]



27. R. R. Paulsen and K. B. Hilger. Shape Modelling Using Markov Random Field Restoration of Point Correspondences. In Information Processing in Medical Imaging, IPMI, 2003. Keyword(s): Markov Random Field, Statistical Shape Model, Registration, Thin Plate Spline. [bibtex-entry]



28. A. Pitiot, H. Delingette, N. Ayache, and P. M. Thompson. Expert-Knowledge-Guided Segmentation System for Brain MRI. In Randy E. Ellis and Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention MICCAI'03, volume 2879 of LNCS, Montreal, pages 644-652, November 2003. Springer. [bibtex-entry]



29. A. Pitiot, H. Delingette, A. Toga, and P. M. Thompson. Learning Object Correspondences with the Observed Transport Shape Measure. In Chris Taylor and J. A. Noble, editors, Information Processing in Medical Imaging IPMI'03, volume 2732 of LNCS, pages 25-37, July 2003. Springer. [bibtex-entry]



30. A. Pitiot, G. Malandain, E. Bardinet, and P. M. Thompson. Piecewise Affine Registration of Biological Images. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 91-101, 2003. Springer. Note: Also research report INRIA RR-4866. Keyword(s): registration, histology. [bibtex-entry]



31. Alexis Roche, Ferath Kherif, Guillaume Flandin, and Jean-Baptiste Poline. Should fMRI data be analyzed using a single BOLD response model across regions?. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. [bibtex-entry]



32. Maxime Sermesant, Olivier Clatz, Zhongze Li, Stéphane Lanteri, Hervé Delingette, and Nicholas Ayache. A Parallel Implementation of Non-Rigid Registration Using a Volumetric Biomechanical Model. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 398-407, 2003. Springer. [bibtex-entry]



33. M. Sermesant, O. Faris, F. Evans, E. McVeigh, Yves Coudière, H. Delingette, and N. Ayache. Preliminary validation using in vivo measures of a macroscopic electrical model of the heart. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 230-243, 2003. INRIA Sophia Antipolis, Springer. [bibtex-entry]



34. Radu Stefanescu, Xavier Pennec, and Nicholas Ayache. Grid Enabled Non-Rigid Registration with a Dense Transformation and A Priori Information. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, Part II, volume 2879 of LNCS, Montreal, pages 804-811, November 2003. Springer. [bibtex-entry]



35. Radu Stefanescu, Xavier Pennec, and Nicholas Ayache. Parallel non-rigid registration on a cluster of workstations. In Sofie Norager, editor, Proc. of HealthGrid'03, Lyon, January 2003. European Commission, DG Information Society. Keyword(s): registration, matching, real time, parallelism. [bibtex-entry]



36. Jérôme Yelnik, Eric Bardinet, Didier Dormont, Chantal François, Dominique Tandé, Karine Parain, Grégoire Malandain, Nicholas Ayache, Etienne Hirsch, and Yves Agid. Delineation of the basal ganglia in MR images of patients by automatic registration of a multimodal atlas based on histological and MR data. In NeuroImage (HBM'03), New York, USA, 2003. Keyword(s): fMRI. [bibtex-entry]

1. J Annese, A. Pitiot, and A. Toga. 3D cortical thickness maps from histological volumes. In Human Brain Mapping HBM'02, 2002. Keyword(s): histology. [bibtex-entry]



2. Eric Bardinet, Pascal Cathier, Alexis Roche, Nicholas Ayache, and Didier Dormont. A posteriori validation of pre-operative planning in functional neurosurgery by quantification of brain pneumocephalus. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 323-330, September 2002. Springer. Keyword(s): functional neurosurgery. [bibtex-entry]



3. Eric Bardinet, Sébastien Ourselin, Didier Dormont, Grégoire Malandain, Dominique Tandé, Karine Parain, Nicholas Ayache, and Jérôme Yelnik. Co-registration of histological, optical and MR data of the human brain. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 548-555, September 2002. Springer. Keyword(s): registration, human brain atlas, histology, MRI. [bibtex-entry]



4. Eric Bardinet, Sébastien Ourselin, Grégoire Malandain, Dominique Tandé, Karine Parain, Nicholas Ayache, and Jérôme Yelnik. Three dimensional functional cartography of the human basal ganglia by registration of optical and histological serial sections. In IEEE International Symposium on Biomedical Imaging, Washington, USA, pages 329-332, 2002. Keyword(s): registration, human brain atlas, histology, MRI. [bibtex-entry]



5. Christophe Blondel, Régis Vaillant, Frédéric Devernay, Grégoire Malandain, and Nicholas Ayache. Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography. In Computer Assisted Radiology and Surgery 2002 Proceedings, Paris, pages 1073-1078, June 2002. Springer. Note: International Symposium on Cardiovascular Imaging - Invasive Coronary and Vascular Imaging. [bibtex-entry]



6. Jean-Daniel Boissonnat, Raphaelle Chaine, P. Frey, G. Malandain, F. Nicoud, S. Salmon, E. Saltel, and M. Thiriet. From medical images to computational meshes. In Marc Thiriet, editor, Conference on Modelling and Simulation for Computer-aided Medicine and Surgery (MS4CMS'02), volume 12 of ESAIM: PROC, pages 1-7, 2002. European Series in Applied and Industrial Mathematics. [bibtex-entry]



7. Didier Dormont, Eric Bardinet, Alexis Roche, Pascal Cachier, François Bonneville, Nicholas Ayache, Philippe Cornu, and Claude Marsault. Study of per-operative pneumocephalus during functional stereotactic procedures using automated registration algorithms of pre and immediate post operative 3D MR acquisitions. In XVIIth Symposium Neuroradiologicum, Paris, August 2002. [bibtex-entry]



8. Guillaume Flandin, Ferath Kherif, Xavier Pennec, Grégoire Malandain, Nicholas Ayache, and Jean-Baptiste Poline. Improved Detection Sensitivity in Functional MRI Data using a Brain Parcelling Technique. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 467-474, September 2002. Springer. Keyword(s): fMRI. [bibtex-entry]



9. Guillaume Flandin, Ferath Kherif, Xavier Pennec, Denis Rivière, Nicholas Ayache, and Jean-Baptiste Poline. A new representation of fMRI data using anatomo-functional constraints. In NeuroImage (HBM'02), Sendai, Japan, 2002. Keyword(s): fMRI. [bibtex-entry]



10. Guillaume Flandin, Ferath Kherif, Xavier Pennec, Denis Rivière, Nicholas Ayache, and Jean-Baptiste Poline. Parcellation of brain images with anatomical and functional constraints for fMRI data analysis. In IEEE International Symposium on Biomedical Imaging, Washington, USA, pages 907-910, 2002. Keyword(s): fMRI. [bibtex-entry]



11. Clément Forest, Hervé Delingette, and Nicholas Ayache. Cutting Simulation of Manifold Volumetric Meshes. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 235-244, September 2002. Springer. [bibtex-entry]



12. Clément Forest, Hervé Delingette, and Nicholas Ayache. Cutting Simulation of Manifold Volumetric Meshes. In Modelling & Simulation for Computer-aided Medicine and Surgery (MS4CMS'02), 2002. [bibtex-entry]



13. Clément Forest, Hervé Delingette, and Nicholas Ayache. Removing Tetrahedra from a Manifold Mesh. In Computer Animation (CA'02), Geneva, Switzerland, pages 225-229, June 2002. IEEE Computer Society. [bibtex-entry]



14. Sébastien Granger and Xavier Pennec. Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, European Conference on Computer Vision (ECCV 2002), volume 2353 of LNCS, Copenhagen, Denmark, pages 418-432, 2002. Springer. Keyword(s): surface registration. [bibtex-entry]



15. P. Jannin, J.M. Fitzpatrick, D.J. Hawkes, X. Pennec, R. Sahidi, and M.W. Vannier. White paper: validation of medical image processing in image-guided therapy. In H.U. Lemke, M.W. Vannier, K. Inamura, A.G. Farman, K. Doi, and J.H.C. Reiber, editors, Proc. of Int. Conf. on Computer Assisted Radiology (CARS 2002), pages 299-305, 2002. Springer. [bibtex-entry]



16. Ferath Kherif, Guillaume Flandin, Philippe Ciuciu, Habib Benali, Olivier Simon, and Jean-Baptiste Poline. Model Based Spatial and Temporal Similarity Measures between Series of Functional Magnetic Resonance Images. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2489 of LNCS, Tokyo, pages 509-516, September 2002. Springer. Keyword(s): fMRI. [bibtex-entry]



17. Ferath Kherif, Guillaume Flandin, Olivier Simon, Habib Benali, and Jean-Baptiste Poline. How much subjects are resembling each other? Spatial and temporal similarity measures for fMRI data. In NeuroImage (HBM'02), Sendai, Japan, 2002. Keyword(s): fMRI. [bibtex-entry]



18. M.G. Linguraru and J.M. Brady. A Non-Parametric Approach to Detecting Microcalcifications. In H.O. Peitgen, editor, Digital Mammography IWDM'02, pages 339-341, 2002. Springer. [bibtex-entry]



19. M.G. Linguraru, J.M. Brady, and M. Yam. Detection of Microcalcifications using SMF. In H.O. Peitgen, editor, Digital Mammography IWDM'02, pages 342-346, 2002. Springer. [bibtex-entry]



20. M.G. Linguraru, K. Marias, and J.M. Brady. Temporal Mass Detection. In H.O. Peitgen, editor, Digital Mammography IWDM'02, pages 347-349, 2002. Springer. [bibtex-entry]



21. A. Mackenzie-Graham, E. Lee, I. Dinov, A. Pitiot, G. Hu, M. Bota, Y. Ding, L. Capetillo-Cunlife, K. Crawford, B. Truong, and A. Toga. Atlas of the C57BL/6 mouse brain: A multimodal, multidimensional approach. In Human Brain Mapping HBM'02, 2002. [bibtex-entry]



22. Grégoire Malandain and Jean-Daniel Boissonnat. Computing the Diameter of a Point Set. In A. Braquelaire, J.-O. Lachaud, and A. Vialard, editors, Discrete Geometry for Computer Imagery (DGCI 2002), volume 2301 of LNCS, Bordeaux, France, 2002. Springer. Note: Also INRIA research report RR-4233. Keyword(s): computational geometry, diameter, width, approximation, point sets, furthest neighbors, double normal. [bibtex-entry]



23. V. Moreau, L.D. Cohen, and D. Pellerin. Estimation and Analysis of the Deformation of the Cardiac Wall using Doppler Tissue Imaging. In International Conference on Pattern Recognition, 2002. [bibtex-entry]



24. Sébastien Ourselin, Radu Stefanescu, and Xavier Pennec. Robust registration of multi-modal images: towards real-time clinical applications. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2489 of LNCS, Tokyo, pages 140-147, September 2002. Springer. Note: A preliminary version appeared as INRIA RR-4333. Keyword(s): parallelism, robust estimation, registration, matching. [bibtex-entry]



25. A. Pitiot, A. Toga, N. Ayache, and P. M. Thompson. Texture based MRI segmentation with a two-stage hybrid neural classifier. In World Congress on Computational Intelligence / INNS-IEEE International Joint Conference on Neural Networks WCCI-IJCNN'02, 2002. [bibtex-entry]



26. S. Prima, N. Ayache, A. Janke, S. Francis, D. Arnold, and L. Collins. Statistical Analysis of Longitudinal MRI Data: Application for detection of Disease Activity in MS. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 363-371, September 2002. Springer. [bibtex-entry]



27. M. Sermesant, Y. Coudière, H. Delingette, and N. Ayache. Progress towards an Electro-Mechanical Model of the Heart for Cardiac Image Analysis. In IEEE International Symposium on Biomedical Imaging (ISBI'02), pages 10-14, 2002. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]



28. M. Sermesant, Y. Coudière, H. Delingette, N. Ayache, J. Sainte-Marie, D. Chapelle, F. Clément, and M. Sorine. Progress Towards Model-Based Estimation of the Cardiac Electromechanical Activity from ECG Signals and 4D Images. In Marc Thiriet, editor, Modelling and Simulation for Computer-aided Medicine and Surgery (MS4CMS'02), volume 12 of ESAIM: PROC, pages 153-162, 2002. European Series in Applied and Industrial Mathematics. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]



29. Maxime Sermesant, Clément Forest, Xavier Pennec, Hervé Delingette, and Nicholas Ayache. Biomechanical Model Construction from Different Modalities: Application to Cardiac Images. In Takeyoshi Dohi and Ron Kikinis, editors, Medical Image Computing and Computer-Assisted Intervention (MICCAI'02), volume 2488 of LNCS, Tokyo, pages 714-721, September 2002. Springer. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking. [bibtex-entry]



30. Jérôme Yelnik, Eric Bardinet, Didier Dormont, Chantal François, Dominique Tandé, Karine Parain, Sébastien Ourselin, Grégoire Malandain, Nicholas Ayache, and Etienne Hirsch. Elaboration of a three-dimensional, functional and registrable atlas of the human basal ganglia. In 3rd Forum of European Neuroscience, Paris, July 2002. The Federation of European Neuroscience Societies (FENS). Keyword(s): registration, human brain atlas, histology, MRI. [bibtex-entry]



31. S. Ying, J. Alger, A. Pitiot, M. Lee, J. Jen, R. Baloh, D. Perlman, D. Geschwind, M. Jacoboni, J. Mazziotta, and A. Toga. Cerebellar control of oculomotion in patients with neuronal calcium channel mutations: high resolution MRI, genotype-phenotype correlation, and functional anatomical correlation. In Human Brain Mapping HBM'02, 2002. [bibtex-entry]



32. S. Ying, J. Alger, A. Pitiot, D. Rex, J. Jen, R. Baloh, M. Jacoboni, J. Mazziotta, and A. Toga. Stochastic tomography, regional volumetric comparisons, and genotype-anatomical correlation in patients with spinocerebella ataxia type 6 and episodic ataxia type 2. In American Academy of Neurology, 2002. [bibtex-entry]