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Publications of year 2015

Books and proceedings

  1. Nicholas Ayache. Des images médicales au patient numérique, Leçons inaugurales du Collège de France. Collège de France / Fayard, March 2015. [bibtex-entry]


  2. Nikos Paragios, Jim Duncan, and Nicholas Ayache. Handbook of Biomedical Imaging: Methodologies and Clinical Research. Springer, 2015. [bibtex-entry]


  3. Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and Alistair Young, editors. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, volume 8896 of Lecture Notes in Computer Science, Boston, United States, 2015. Springer. [bibtex-entry]


  4. Stanley Durrleman, Thomas P. Fletcher, Guido Gerig, Marc Niethammer, and Xavier Pennec, editors. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, volume 8682 of Lecture notes in computer science, Cambridge, United States, January 2015. Springer International Publishing. [bibtex-entry]


  5. Pennec, Xavier, Joshi, Sarang, Nielsen, Mads, Fletcher, Thomas P., Durrleman, Stanley, Sommer, and Stefan, editors. Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015), Munich, Germany, August 2015. [bibtex-entry]


Thesis

  1. Chloé Audigier. Computational modeling of radiofrequency ablation for the planning and guidance of abdominal tumor treatment. Theses, Université Nice Sophia Antipolis, October 2015. Keyword(s): Heat transfer, Patient-Specific, Liver, RFA Modeling, Cellular necrosis, Computational fluid dynamics, Computer model, Lattice Boltzmann method, Parameter estimation, Pre-clinical study, Medical imaging, Imagerie médicale, Étude préclinique, Estimation de paramètres, Méthode de Lattice Boltzmann, Modèle informatique, Mécanique des fluides, Nécrose cellulaire, Diffusion de la chaleur, Personnalisation, Foie, Modélisation d'ARF. [bibtex-entry]


  2. Thomas Benseghir. Topology Preserving Vascular Registration: Application to Percutaneous Coronary Intervention. Theses, Université de Nice-Sophia Antipolis, July 2015. Keyword(s): 3D/2D Registration, Coronary Arteries, Recalage 3D/2D, Artères Coronaires. [bibtex-entry]


  3. Rocio Cabrera Lozoya. Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches. Theses, Université Nice Sophia Antipolis, September 2015. Keyword(s): Local abnormal ventricular activities (LAVA), Electroanatomical mapping, Radiofrequency ablation planning, Machine learning, Intracardiac electrogram modeling, Cardiac electrophysiology modeling, Activités ventriculaires anormales locales LAVA, Modélisation de l'électrophysiologie cardiaque, Modélisation d'électrogrammes intracardiaques, Apprentissage automatique, Planification d'ablation par radiofréquence. [bibtex-entry]


  4. Nicolas Cordier. Multi-atlas patch-based segmentation and synthesis of brain tumor MR images. Theses, Université Nice Sophia Antipolis, December 2015. Keyword(s): Patch-based, Multi-atlas, Glioma, Segmentation, Probabilistic generative model, Medical image simulation, Modality synthesis, Synthèse de modalité, Simulation d'image médicale, Modèle génératif probabiliste, Segmentation, Gliome, Multi-atlas, Appariement de blocs de voxels. [bibtex-entry]


  5. Vikash Gupta. Diffusion tensor imaging of the brain : towards quantitative clinical tools. Theses, Université Nice Sophia Antipolis, March 2015. Keyword(s): HIV, Population based statistical analysis, Multimodal brain atlas, Clinical DTI, VIH, Analyse statistique basée sur la population, DTI clinique, Super-résolution, Multimodales atlas du cerveau. [bibtex-entry]


  6. Loïc Le Folgoc. Statistical learning for image-based personalization of cardiac models. Theses, Université Nice Sophia Antipolis, November 2015. Keyword(s): Inverse problem, Cardiac motion tracking, Automatic relevance determination, Structured sparse bayesian learning, Non-rigid registration, Suivi de mouvement cardiaque, Problème inverse, Recalage non-rigide, Modélisation bayésienne parcimonieuse structurée, Détermination automatique, MCMC. [bibtex-entry]


  7. Jan Margeta. Machine Learning for Simplifying the Use of Cardiac Image Databases. Theses, Ecole Nationale Supérieure des Mines de Paris, December 2015. [bibtex-entry]


Articles in journal, book chapters

  1. Martino Alessandrini, Mathieu De Craene, Olivier Bernard, Sophie Giffard-Roisin, Pascal Allain, Juergen Weese, Eric Saloux, Hervé Delingette, Maxime Sermesant, and Jan D'Hooge. A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-access Database.. IEEE Transactions on Medical Imaging, 34(7):1436-1451, 2015. [bibtex-entry]


  2. A Amelot, E Stretton, Hervé Delingette, Nicholas Ayache, S Froelich, and E Mandonnet. Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns. Journal of Neuro-Oncology, 121(2):381-387, January 2015. [bibtex-entry]


  3. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael Choti, Ali Kamen, Nicholas Ayache, and Dorin Comaniciu. Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Transactions on Medical Imaging, 34(issue 7):p 1576-1589, 2015. Keyword(s): Therapy Planning, Computational Fluid Dynamics, Heat Transfer, Lattice Boltzmann Method, Radio Frequency ablation, Patient-Specific Simulation. [bibtex-entry]


  4. Mariem Ben Abdallah, Jihene Malek, Ahmad Taher Azar, Philippe Montesinos, Hafedh Belmabrouk, Julio Esclarìn Monreal, and Karl Krissian. Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness. International Journal of Biomedical Imaging, 2015:1-16, 2015. Keyword(s): Distance transform, similarity measures, contours. [bibtex-entry]


  5. Thomas Benseghir, Grégoire Malandain, and Régis Vaillant. A tree-topology preserving pairing for 3D/2D registration. International Journal of Computer Assisted Radiology and Surgery, 10(6):913-923, 2015. Note: Information Processing in Computer-Assisted Interventions (IPCAI) 2015 Special Issue. Keyword(s): Registration, Tree, Coronary Arteries, X-ray, Navigation, Iterative Closest Curve. [bibtex-entry]


  6. David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack, Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, Jorge M. Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, and Sebastien Ourselin. Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage, 123:149-164, December 2015. [bibtex-entry]


  7. Hubert Cochet, Arnaud Denis, Yuki Komatsu, Amir S. Jadidi, Tassadit Aït Ali, Frédéric Sacher, Nicolas Derval, Jatin Relan, Maxime Sermesant, Olivier Corneloup, Mélèze Hocini, Michel Haïssaguerre, François Laurent, Michel Montaudon, and Pierre Jaïs. Automated Quantification of Right Ventricular Fat at Contrast-enhanced Cardiac Multidetector CT in Arrhythmogenic Right Ventricular Cardiomyopathy. Radiology, 275(3):683-91, June 2015. [bibtex-entry]


  8. Nicolas Cordier, Hervé Delingette, and Nicholas Ayache. A patch-based approach for the segmentation of pathologies: Application to glioma labelling. IEEE Transactions on Medical Imaging, 35(4):11, December 2015. Keyword(s): patch-based, multi-atlas, glioma, segmentation. [bibtex-entry]


  9. Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage, 115:224-234, July 2015. [bibtex-entry]


  10. Marco Lorenzi, Xavier Pennec, Giovanni B. Frisoni, and Nicholas Ayache. Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images. Neurobiology of Aging, 36:S42-S52, January 2015. [bibtex-entry]


  11. Jan Margeta, Antonio Criminisi, Rocio Cabrera Lozoya, Daniel C. Lee, and Nicholas Ayache. Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, August 2015. Note: This is an electronic version of an article published inComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualizationon 13 August 2015, by Taylor & Francis, DOI: 10.1080/21681163.2015.1061448.Available online at: http://www.tandfonline.com/10.1080/21681163.2015.1061448. Keyword(s): Transfer learning, Fine-tuning, SSFP, Planes of acquisition, Machine learning, Cardiac magnetic resonance, Convolutional neural networks, Magnetic resonance, Cardiac imaging, Deep learning. [bibtex-entry]


  12. Kristin Mcleod, Maxime Sermesant, Philipp Beerbaum, and Xavier Pennec. Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. IEEE Transactions on Medical Imaging, 34(7):1562-1675, July 2015. Keyword(s): spatio-temporal alignment, Tetralogy of Fallot, cardiac modelling, atlas, non-rigid image registration, motion tracking, population statistics, tensor decomposition. [bibtex-entry]


  13. Bjoern H Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gabor Szekely, Nicholas Ayache, and Polina Golland. A generative probabilistic model and discriminative extensions for brain lesion segmentation -- with application to tumor and stroke. IEEE Transactions on Medical Imaging, November 2015. [bibtex-entry]


  14. Nina Miolane and Xavier Pennec. Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics. Entropy, 17(4):1850-1881, April 2015. [bibtex-entry]


  15. Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, Michael B. Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, and Kawal S. Rhode. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460-1473, July 2015. Keyword(s): Benchmark testing, automatic segmentations, atrial fibrillation ablation guidance, anatomical regions, 3D CT datasets, Left Atrial Segmentation Challenge, left atrial surface, ground truth, image segmentation, LA appendage trunk, LASC, LA segmentation, left atrial anatomy, left atrium, Magnetic Resonance Imaging, Measurement, medical image processing, MRI datasets, multiple input data, physiological models, pulmonary vein proximal sections, region growing approach, Shape, standardisation framework, statistical analysis, statistical models, biomedical MRI, biophysical modelling, blood vessels, cardiovascular disease, cardiovascular system, Computed Tomography, computerised tomography, diseases, Educational institutions, electroanatomical mapping systems, evaluation code, fibrosis quantification. [bibtex-entry]


  16. Clair Vandersteen, Thomas Demarcy, Coralie Roger, Eric Fontas, Charles Raffaelli, Nicholas Ayache, Hervé Delingette, and Nicolas Guevara. Impact of the surgical experience on cochleostomy location: a comparative temporal bone study between endaural and posterior tympanotomy approaches for cochlear implantation. European Archives of Oto-Rhino-Laryngology, pp 1-7, 2015. Keyword(s): Cochlear implantation, Cochleostomy, Minimally invasive surgery, Endaural approach, Learning skills, Surgery resident, Interne en chirurgie, Implantation cochléaire, Cochléostomie, Chirurgie mini-invasive, Voie endaurale, Compétences d'apprentissage. [bibtex-entry]


  17. Ken C.L. Wong, Maxime Sermesant, Kawal Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, and Nicholas Ayache. Velocity-based cardiac contractility personalization from images using derivative-free optimization. Journal of the mechanical behavior of biomedical materials, 43:35-52, March 2015. Keyword(s): parameter estimation, model personalization, derivative-free optimization, Cardiac contractility, cardiac electromechanical model. [bibtex-entry]


  18. Hervé Delingette and Nicholas Ayache. Building Patient-Specific Physical and Physiological Computational Models from Medical Images. In Paragios, Nikos, Duncan, Jim, Ayache, and Nicholas, editors, Handbook of Biomedical Imaging: Methodologies and Clinical Research, pages 169-182. Springer US, 2015. [bibtex-entry]


  19. Xavier Pennec and Pierre Fillard. Statistical Computing on Non-Linear Spaces for Computational Anatomy. In Paragios, Nikos, Duncan, Jim, Ayache, and Nicholas, editors, Handbook of Biomedical Imaging: Methodologies and Clinical Research, pages 147-168. Springer, 2015. [bibtex-entry]


Conference articles

  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): Medical imaging, Simulations, Quality assurance, Echocardiography, MRI, Deformation imaging, Heart. [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 Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers, 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, 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]


  9. 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]


  10. 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]


  11. 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]


  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): biomechanical simulation, Alzheimer's disease, biophysical modeling, 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): Image processing, neurogeometry, sub-Riemannian geometry. [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]


Internal reports

  1. Marine Breuilly, Kaouthar Chatti, Jacques Darcourt, Philippe Franken, Julien Guglielmi, Grégoire Malandain, and Thierry Pourcher. From extraction of physiological features with dynamic $\mu$-SPECT imaging to modelling of iodide biodistribution in stomach. Research Report, Inria Sophia Antipolis, August 2015. [bibtex-entry]


Patents, standards

  1. Chloé Audigier, Tommaso Mansi, Saikiran Rapaka, Ali Kamen, Viorel Mihalef, Hervé Delingette, Nicholas Ayache, and Dorin Comaniciu. System and method for personalized computation of tissue ablation extent based on medical images. US 2015/0242588 A1, United States, August 2015. [bibtex-entry]


  2. Natasha Lepore, Fernando Ypes-Calderon, Yalin Wang, Paul M. Thompson, Xavier Pennec, Marvin D. Nelson, Caroline Brun, and Wayne L. TANG. Magnetic resonance imaging tool to detect clinical difference in brain anatomy. WO/2015/017582, International Application PCT/US2014/048973, United States, February 2015. [bibtex-entry]



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Last modified: Fri Sep 24 00:30:04 2021
Author: epione-publi.

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