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Publications of Hervé Delingette

Books and proceedings

  1. Nicholas Ayache, Hervé Delingette, and Maxime Sermesant, editors. Functional Imaging and Modeling of the Heart - FIMH 2009, volume 5528 of LNCS, Nice, France, June 2009. Springer. Note: 537 pages. [bibtex-entry]


  2. Hervé Delingette and Alejandro Frangi, editors. Proceedings of the MICCAI Workshop - From Statistical Atlases to Personalized Models: Understanding Complex Diseases in Populations and Individuals, 2006. [bibtex-entry]


  3. N. Ayache and H. Delingette, editors. Proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, June 2003. Springer. [bibtex-entry]


  4. B. Marfart, H. Delingette, and G. Subsol, editors. Three Dimensional Imaging in PaleoAnthropology and Prehistoric Archeology, Liege, Belgium, 2002. BAR International Series 1049. [bibtex-entry]


Thesis

  1. Hervé Delingette. Modélisation de structures déformables. Habilitation à diriger des recherches, Université Nice Sophia-Antipolis, March 2006. [bibtex-entry]


  2. H. Delingette. Modélisation, Déformation et Reconnaissance d'objets tridimensionnels a l'aide de maillages simplexes. Thèse de sciences, Ecole Centrale de Paris, July 1994. Keyword(s): thesis, reconstruction, recognition. [bibtex-entry]


Articles in journal, book chapters

  1. Andrea Chierici, Fabien Lareyre, Benjamin Salucki, Antonio Iannelli, Hervé Delingette, and Juliette Raffort. Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence. Journal of International Medical Research, 52(9), September 2024. Keyword(s): deep learning, Vessel segmentation, liver, artificial intelligence, active contour, tracking, machine learning. [bibtex-entry]


  2. Paul Tourniaire, Marius Ilie, Julien Mazières, Anna Vigier, François Ghiringhelli, Nicolas Piton, Jean-Christophe Sabourin, Frédéric Bibeau, Paul Hofman, Nicholas Ayache, and Hervé Delingette. WhARIO: whole-slide-image-based survival analysis for patients treated with immunotherapy. Journal of Medical Imaging, 11(03), May 2024. Keyword(s): Lung cancer LC, Whole slide image classification. [bibtex-entry]


  3. Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, and Ona Wu. Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Transactions on Medical Imaging, 43(8):2825-2838, March 2024. Keyword(s): Zero-shot learning, cross-modality translation, diffusion model, mutual information. [bibtex-entry]


  4. Arnaud Berenbaum, Hervé Delingette, Aurélien Maire, Cécile Poret, Claire Hassen-Khodja, Stéphane Bréant, Christel Daniel, Patricia Martel, Lamiae Grimaldi, Marie Frank, Emmanuel Durand, and Florent Besson. Performance of AI-Based Automated Classifications of Whole-Body FDG PET in Clinical Practice: The CLARITI Project. Applied Sciences, 13(9):5281, May 2023. Keyword(s): FDG PET, artificial intelligence, deep learning, convolutional neural network. [bibtex-entry]


  5. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Deep Clustering for Abdominal Organ Classification in US imaging. Journal of Medical Imaging, 10(3):034502, 2023. Keyword(s): ultrasound imaging, representation learning, deep clustering, semi-supervised learning. [bibtex-entry]


  6. Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, and Hervé Delingette. Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO). Journal of Machine Learning for Biomedical Imaging, 2(UNSURE 2022 Special Issue):361-389, September 2023. Keyword(s): Consensus, Distance, Heuristic, Optimization, STAPLE. [bibtex-entry]


  7. Raabid Hussain, Attila Frater, Roger Calixto, Chadlia Karoui, Jan Margeta, Zihao Wang, Michel Hoen, Hervé Delingette, François Patou, Charles Raffaelli, Clair Vandersteen, and Nicolas Guevara. Anatomical Variations of the Human Cochlea Using an Image Analysis Tool. Journal of Clinical Medicine, 12(2):509, January 2023. Keyword(s): Otology, Cochlea Modeling, Medical Image Analysis, cochlear morphology, cochlear implantation, statistical analysis. [bibtex-entry]


  8. Sébastien Molière, Dimitri Hamzaoui, Anna Luzurier, Benjamin Granger, Sarah Montagne, Alexandre Allera, Malek Ezziane, Raphaële Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaële Renard-Penna. Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI. Diagnostic and Interventional Imaging, August 2023. Keyword(s): Artificial intelligence Inter-reader variability Magnetic resonance imaging Prostate Segmentation. [bibtex-entry]


  9. Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, and Hervé Delingette. MS-CLAM: Mixed Supervision for the classification and localization of tumors in Whole Slide Images. Medical Image Analysis, 85:102763, 2023. Keyword(s): Digital Pathology, Mixed Supervision, Deep Learning, Camelyon16, DigestPath2019. [bibtex-entry]


  10. Zihao Wang, Zhifei Xu, Jiayi He, Herve Delingette, and Jun Fan. Long Short-Term Memory Neural Equalizer. IEEE Transactions on Signal and Power Integrity, 2:13-22, 2023. [bibtex-entry]


  11. Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, and Hervé Delingette. Robust Bayesian fusion of continuous segmentation maps. Medical Image Analysis, 78:102398, May 2022. Keyword(s): Image segmentation, Data fusion, Consensus, Mixture. [bibtex-entry]


  12. Nathan Blanken, Jelmer Wolterink, Herve Delingette, Christoph Brune, Michel Versluis, and Guillaume Lajoinie. Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Transactions on Medical Imaging, 41(9):2532-2542, September 2022. [bibtex-entry]


  13. Hind Dadoun, Anne-Laure Rousseau, Eric de Kerviler, Jean Michel Correas, Anne-Marie Tissier, Fanny Joujou, Sylvain Bodard, Kemel Khezzane, Constance de Margerie-Mellon, Hervé Delingette, and Nicholas Ayache. Detection, Localization, and Characterization of Focal Liver Lesions in Abdominal US with Deep Learning. Radiology: Artificial Intelligence, 4(3), 2022. [bibtex-entry]


  14. Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaëlle Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaële Renard-Penna. Correction to: Prostate Volume Prediction on MRI: Tools, Accuracy and Variability. European Radiology, 32(7):5035-5035, 2022. Note: Correction about the name of the author Raphaële Renard-Penna. [bibtex-entry]


  15. Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaële Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaele Renard-Penna. Prostate volume prediction on MRI: tools, accuracy and variability. European Radiology, February 2022. Note: The original publication is available at www.springerlink.com: https://link.springer.com/article/10.1007/s00330-022-08554-4. Keyword(s): Prostate, Magnetic Resonance Imaging, Volume, PSA density, Segmentation. [bibtex-entry]


  16. Dimitri Hamzaoui, Sarah Montagne, Raphaele Renard-Penna, Nicholas Ayache, and Hervé Delingette. Automatic Zonal Segmentation of the Prostate from 2D and 3D T2-weighted MRI and Evaluation for Clinical Use. Journal of Medical Imaging, 9(2):024001, March 2022. Keyword(s): Prostate, Segmentation, Deep Learning, Lesion, Magnetic Resonance Imaging, Inter-rater Variability. [bibtex-entry]


  17. Marius Ilie, Jonathan Benzaquen, Paul Tourniaire, Simon Heeke, Nicholas Ayache, Hervé Delingette, Elodie Long-Mira, Sandra Lassalle, Marame Hamila, Julien Fayada, Josiane Otto, Charlotte Cohen, Abel Gomez Caro, Jean Philippe Berthet, Charles Hugo Marquette, Véronique Hofman, Christophe Bontoux, and Paul Hofman. Deep learning facilitates distinguishing histologic subtypes of pulmonary neuroendocrine tumors on digital whole-slide images. Cancers, 14(7):1740, March 2022. Keyword(s): lung, neuroendocrine carcinoma, deep learning, CNN, HALO-AI. [bibtex-entry]


  18. Fabien Lareyre, Christian-Alexander Behrendt, Arindam Chaudhuri, Nicholas Ayache, Juliette Raffort, and Hervé Delingette. Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration. Angiology, 73(8):697-700, September 2022. [bibtex-entry]


  19. Jan Margeta, Raabid Hussain, Paula López Diez, Anika Morgenstern, Thomas Demarcy, Zihao Wang, Dan Gnansia, Octavio Martinez Manzanera, Clair Vandersteen, Hervé Delingette, Andreas Buechner, Thomas Lenarz, François Patou, and Nicolas Guevara. A Web-Based Automated Image Processing Research Platform for Cochlear Implantation-Related Studies. Journal of Clinical Medicine, 11(22):6640, November 2022. Keyword(s): cochlear implant, image analysis, computed tomography, machine learning, deep learning, image segmentation, 3D model, tonotopic mapping, visualization. [bibtex-entry]


  20. Carine Wu, Sarah Montagne, Dimitri Hamzaoui, Nicholas Ayache, Hervé Delingette, and Raphaële Renard-Penna. Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature. Insights into Imaging, 13(1):202, December 2022. Keyword(s): Artificial intelligence, Deep learning, Magnetic resonance imaging, Prostate cancer. [bibtex-entry]


  21. Julian Krebs, Hervé Delingette, Nicholas Ayache, and Tommaso Mansi. Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. IEEE Transactions on Medical Imaging, February 2021. Keyword(s): motion model, deformable registration, conditional variational autoencoder, gaussian process, latent variable model, motion interpolation, motion simulation, tracking. [bibtex-entry]


  22. Julian Krebs, Tommaso Mansi, Hervé Delingette, Bin Lou, Joao Lima, Susumu Tao, Luisa Ciuffo, Sanaz Norgard, Barbara Butcher, Wei Lee, Ela Chamera, Timm-Michael Dickfeld, Michael Stillabower, Joseph Marine, Robert Weiss, Gordon Tomaselli, Henry Halperin, Katherine Wu, and Hiroshi Ashikaga. CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY). Scientific Reports, 11(1):22683, November 2021. Keyword(s): Cardiac device therapy, Ventricular fibrillation, Ventricular tachycardia. [bibtex-entry]


  23. Sarah Montagne, Dimitri Hamzaoui, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaële Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaele Renard Penna. Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology. Insights into Imaging, 12(1), June 2021. Keyword(s): Prostate, MRI, Segmentation, Zones, Atlas. [bibtex-entry]


  24. Maxime Sermesant, Hervé Delingette, Hubert Cochet, Pierre Jaïs, and Nicholas Ayache. Applications of artificial intelligence in cardiovascular imaging. Nature Reviews Cardiology, 18:600-609, March 2021. Keyword(s): Cardiology, Machine learning, Medical imaging. [bibtex-entry]


  25. Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Bayesian Logistic Shape Model Inference: application to cochlear image segmentation. Medical Image Analysis, 75:102268, October 2021. Keyword(s): Bayesian Inference, Image Segmentation, Shape Modeling. [bibtex-entry]


  26. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks. Computerized Medical Imaging and Graphics, 93:101990, October 2021. Keyword(s): Artifact Reduction, Deep Learning, GAN. [bibtex-entry]


  27. Zhifei Xu, Zihao Wang, Yin Sun, Chulsoon Hwang, Hervé Delingette, and Jun Fan. Jitter Aware Economic PDN Optimization with a Genetic Algorithm. IEEE Transactions on Microwave Theory and Techniques, June 2021. Note: Corresponding authors: Zihao Wang; Chulsoon Hwang. Keyword(s): PDN, Jitter, PSIJ, Decoupling capacitor, Genetic algorithm, Power integrity. [bibtex-entry]


  28. Benoît Audelan and Hervé Delingette. Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model. Medical Image Analysis, 68:101895, November 2020. Keyword(s): Unsupervised quality control, Image segmentation, Bayesian learning, Unsupervised quality control. [bibtex-entry]


  29. Simon Heeke, Jonathan Benzaquen, Véronique Hofman, Elodie Long-Mira, Virginie Lespinet, Olivier Bordone, Charles-Hugo Marquette, Hervé Delingette, Marius Ilié, and Paul Hofman. Comparison of Three Sequencing Panels Used for the Assessment of Tumor Mutational Burden in NSCLC Reveals Low Comparability. Journal of Thoracic Oncology, 15(9):1535-1540, September 2020. [bibtex-entry]


  30. Pawel Mlynarski, Hervé Delingette, Hamza A Alghamdi, Pierre-Yves Bondiau, and Nicholas Ayache. Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy. Journal of Medical Imaging, 7(1):1-21, February 2020. Keyword(s): segmentation, organs at risk, Convolutional Neural Networks, radiotherapy, MRI. [bibtex-entry]


  31. Raphaël Sivera, Nicolas Capet, Valeria Manera, Roxane Fabre, Marco Lorenzi, Hervé Delingette, Xavier Pennec, Nicholas Ayache, and Philippe Robert. Voxel-based assessments of treatment effects on longitudinal brain changes in the Multidomain Alzheimer Preventive Trial cohort. Neurobiology of Aging, 94:50-59, October 2020. Keyword(s): Multidomain intervention, Clinical trial, Subjective memory complaint, Deformation-based morphometry. [bibtex-entry]


  32. Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E Petersen, and Nicholas Ayache. Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs. Frontiers in Cardiovascular Medicine, 7:164, November 2020. Keyword(s): Cluster analysis, Gaussian mixture model, Cine MRI, Cardiac pathology, Feature extraction, UK Biobank, Cardiac motion. [bibtex-entry]


  33. Paloma Compes, Emeline Tabouret, Amandine Etcheverry, Carole Colin, Romain Appay, Nicolas Cordier, Jean Mosser, Olivier Chinot, Hervé Delingette, Nadine Girard, Henry Dufour, Philippe Metellus, and Dominique Figarella-Branger. Neuro-radiological characteristics of adult diffuse grade II and III insular gliomas classified according to WHO 2016. Journal of Neuro-Oncology, 142(3):511-520, May 2019. Keyword(s): Molecular, Glioma, Neuro-radiology, Insula, Perfusion. [bibtex-entry]


  34. Thomas Demarcy, Isabelle Pélisson, Dan Gnansia, Hervé Delingette, Nicholas Ayache, Charles Raffaelli, Clair Vandersteen, and Nicolas Guevara. Un modèle de reconstruction tridimensionnelle de la cochlée au service de l'implantation cochléaire. Cahiers de l'audition, 32(4):36-40, July 2019. [bibtex-entry]


  35. Simon Heeke, Jonathan Benzaquen, Elodie Long-Mira, Benoît Audelan, Virginie Lespinet, Olivier Bordone, Salomé Lalvée, Katia Zahaf, Michel Poudenx, Olivier Humbert, Henri Montaudié, Pierre-Michel Dugourd, Madleen Chassang, Thierry Passeron, Hervé Delingette, Charles-Hugo Marquette, Véronique Hofman, Albrecht Stenzinger, Marius Ilié, and Paul Hofman. In-House Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-Small Cell Lung Cancer and Melanoma Patients. Cancers, 11, 2019. Keyword(s): tumor mutational burden, FoundationOne assay, Oncomine TML assay, lung cancer, melanoma, immunotherapy. [bibtex-entry]


  36. Simon Heeke, Hervé Delingette, Youta Fanjat, Elodie Long-Mira, Sandra Lassalle, Véronique Hofman, Jonathan Benzaquen, Charles-Hugo Marquette, Paul Hofman, and Marius Ilié. La pathologie cancéreuse pulmonaire à l'heure de l'intelligence artificielle : entre espoir, désespoir et perspectives. Annales de Pathologie, 39(2):130-136, April 2019. Keyword(s): Pathology, Histology, Lung cancer, Artificial intelligence, Convolutional neural networks, Deep learning, Pathologie Apprentissage profond, Histologie, Cancer broncho-pulmonair, Intelligence artificielle, Réseaux de neurones convolutifs, Apprentissage profond. [bibtex-entry]


  37. Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, and Tommaso Mansi. Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Transactions on Medical Imaging, pp 2165-2176, February 2019. Keyword(s): deformable registration, deformation transport, latent variable model, probabilistic encoding, conditional variational autoencoder, deep learning. [bibtex-entry]


  38. Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. Computerized Medical Imaging and Graphics, 73:60-72, February 2019. Keyword(s): Brain tumor, Multisequence MRI, Segmentation, 3D Convolutional Neural Networks, Ensembles of models. [bibtex-entry]


  39. Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Deep Learning with Mixed Supervision for Brain Tumor Segmentation. Journal of Medical Imaging, July 2019. Keyword(s): Semi-supervised learning, tumor, segmentation, Convolutional Neural Networks, Convolutional N..., Semi-supervised..., MRI. [bibtex-entry]


  40. Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, and Maxime Sermesant. Population-based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases. International Journal for Numerical Methods in Biomedical Engineering, 35(2):e3158, February 2019. Keyword(s): Cardiac Electromechanical Modeling, Parameter Estimation, Personalised modeling, Parameter Selection. [bibtex-entry]


  41. Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, and Nicholas Ayache. A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage, 198:255-270, September 2019. Keyword(s): Imaging biomarkers, Aging, Spatio-temporal model, Brain morphology, Deformations, Alzheimer's disease. [bibtex-entry]


  42. Wilhelm Wimmer, Lukas Anschuetz, Stefan Weder, Franca Wagner, Hervé Delingette, and Marco Caversaccio. Human bony labyrinth dataset: Co-registered CT and micro-CT images, surface models and anatomical landmarks. Data in Brief, 27:104782, December 2019. Keyword(s): Anatomy, Cochlea, Inner ear, Morphology, Semicircular canals, Vestibule. [bibtex-entry]


  43. Qiao Zheng, Hervé Delingette, and Nicholas Ayache. Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. Medical Image Analysis, 56:80-95, 2019. Keyword(s): Deep learn- ing, Cine MRI, Classifi-cation, Motion, Semi-supervised learning, Deep learn-ing, Cardiac pathology, Neural network, Apparent flow, Classifi- cation. [bibtex-entry]


  44. Fabien Almairac, Denys Fontaine, Thomas Demarcy, Hervé Delingette, Stephanie Beuil, and Charles Raffaelli. Motor cortex neurovascular coupling: inputs from ultra--high-frequency ultrasound imaging in humans. Journal of Neurosurgery, pp 1-7, November 2018. Keyword(s): Motor cortex, Ultrasound, Imaging methodology, Clinical neurophysiology, Diagnostic technique, Cerebral blood flow, Neurovascular coupling. [bibtex-entry]


  45. Jonathan Benzaquen, Jacques Boutros, Charles Marquette, Hervé Delingette, and Paul Hofman. Lung Cancer Screening, Towards a Multidimensional Approach: Why and How?. Cancers, 10, 2018. Keyword(s): screening, lung cancer, artificial intelligence. [bibtex-entry]


  46. Nicolas Duchateau, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases. IEEE Transactions on Medical Imaging, 37:755-766, 2018. Keyword(s): validation, magnetic resonance., biomechanical modeling, Image synthesis and simulation, myocardial infarct, large database for machine learning. [bibtex-entry]


  47. Leman Feng, Pierre Alliez, Laurent Busé, Hervé Delingette, and Mathieu Desbrun. Curved Optimal Delaunay Triangulation. ACM Transactions on Graphics, 37(4):16, August 2018. Keyword(s): Bézier elements ACM Reference Format:, Mesh generation, Bézier elements, Additional Key Words and Phrases: Higher-order meshing, Optimal Delau-nay Triangulations, CCS Concepts: $\bullet$ Mathematics of computing $\rightarrow$ Mesh generation, higher order finite elements, Optimal Delaunay Triangulations, Higher-order meshing. [bibtex-entry]


  48. Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A Rinaldi, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy. IEEE Transactions on Biomedical Engineering, 20, 2018. Keyword(s): Cardiac Electrophysiology, Inverse Problem of ECG, Personalisation, ECG Imaging, Index Terms-Cardiac Electrophysiology, In- verse Problem of ECG. [bibtex-entry]


  49. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. IEEE Transactions on Medical Imaging, 37:2137-2148, April 2018. Keyword(s): deep learning, spatial propagation, Cardiac segmentation, 3D consistency, neural network. [bibtex-entry]


  50. Thomas Demarcy, Clair Vandersteen, Nicolas Guevara, Charles Raffaelli, Dan Gnansia, Nicholas Ayache, and Hervé Delingette. Automated analysis of human cochlea shape variability from segmented $\mu$CT images. Computerized Medical Imaging and Graphics, 59(July 2017):1 - 12, 2017. Keyword(s): cochlear implant, human cochlea, anatomy, shape variability, modiolar axis. [bibtex-entry]


  51. Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Hervé Delingette, Reza Razavi, Nicholas Ayache, and Maxime Sermesant. Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping. IEEE Transactions on Biomedical Engineering, 64(9):2206 - 2218, September 2017. Note: Selected for the TBME highlights, sept. 2017rlhttps://tbme.embs.org/2017/08/24/non-invasive-personalisation-cardiac-electrophysiology-model-body-surface-potential-mapping/. Keyword(s): ECG Imaging, Parameter estimation, In- verse Problem of ECG, Cardiac Electrophysiology, Personalisation. [bibtex-entry]


  52. Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements. Medical Image Analysis, 36:79 - 97, February 2017. Keyword(s): Cardiac Imaging, Automatic Relevance Determination, Bayesian modelling, Sparse, Registration. [bibtex-entry]


  53. Roch Molléro, Xavier Pennec, Hervé Delingette, Alan Garny, Nicholas Ayache, and Maxime Sermesant. Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models. Biomechanics and Modeling in Mechanobiology, pp 1-16, September 2017. Keyword(s): Finite Element Mechanical modeling, Parameter Estimation, Reduced Model, Cardiac Electromechanical Modeling, Multi-fidelity Modeling. [bibtex-entry]


  54. Walther Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, Yingliang Ma, Nicholas Ayache, Maxime Sermesant, Hervé Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, and Christopher A. Rinaldi. ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical and Biological Engineering and Computing, 55(6):979 - 990, June 2017. Keyword(s): Clinical validation, Non-contact mapping, ECG imaging, Ventricular tachycardia, Inverse problem of ECG. [bibtex-entry]


  55. Stéphanie Marchesseau, Simon Chatelin, and Hervé Delingette. Nonlinear Biomechanical Model of the Liver. In Yohan Payan and Jacques Ohayon, editors, Biomechanics of Living Organs. Hyperelastic Constitutive Laws for Finite Element Modeling, pages 243 - 265. Elsevier, 2017. [bibtex-entry]


  56. Martino Alessandrini, Brecht Heyde, Sandro Queirós, Szymon Cygan, Maria Zontak, Oudom Somphone, Olivier Bernard, Maxime Sermesant, Hervé Delingette, Daniel Barbosa, Mathieu de Craene, Matthew O'Donnell, and Jan d'Hooge. Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Transactions on Medical Imaging, 35(8):1915-1926, 2016. [bibtex-entry]


  57. Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Marie-Pierre Jolly, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, and Nicholas Ayache. Comprehensive Pre-Clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation. International Journal of Computer Assisted Radiology and Surgery, December 2016. [bibtex-entry]


  58. Zhong Chen, Rocìo Cabrera-Lozoya, Jatin Relan, Manav Sohal, Anoop Shetty, Rashed Karim, Hervé Delingette, Jaswinder Gill, Kawal Rhode, Nicholas Ayache, Peter Taggart, Christopher Aldo Rinaldi, Maxime Sermesant, and Reza Razavi. Biophysical modelling predicts ventricular tachycardia inducibility and circuit morphology: A combined clinical validation and computer modelling approach. Journal of Cardiovascular Electrophysiology, 27(7):851-860, 2016. Keyword(s): cardiac magnetic resonance imaging, conductivity, APD restitution, computer modelling, Ventricular tachycardia. [bibtex-entry]


  59. Nicolas Cordier, Hervé Delingette, Matthieu Lê, and Nicholas Ayache. Extended Modality Propagation: Image Synthesis of Pathological Cases. IEEE Transactions on Medical Imaging, PP(99), July 2016. Keyword(s): patch-based, multi-atlas, glioma, generative model, medical image simulation, modality synthesis. [bibtex-entry]


  60. Dan Gnansia, Thomas Demarcy, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, Hervé Delingette, and Nicholas Ayache. Optimal electrode diameter in relation to volume of the cochlea. European Annals of Otorhinolaryngology, Head and Neck Diseases, 133, Supplement 1:S66-S67, June 2016. Keyword(s): Cochlear implant, Electrode-array, Hearing preservation, Soft surgery, Electrode-array design, Image processing, Computed tomography, Inner ear, Anatomy. [bibtex-entry]


  61. Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Quantifying Registration Uncertainty with Sparse Bayesian Modelling. IEEE Transactions on Medical Imaging, PP(99), December 2016. Keyword(s): MCMC, Uncertainty Quantification, Registration, Sparse Bayesian Learning, Reversible Jump, Automatic Relevance Determination. [bibtex-entry]


  62. Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R Gerstner, Tracy Batchelor, Jan Unkelbach, and Nicholas Ayache. MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Transactions on Medical Imaging, 35(10):2329-2339, April 2016. Keyword(s): bayesian, personalization, Index Terms-tumor growth, glioblastoma, reaction-diffusion, LBM, Monte Carlo. [bibtex-entry]


  63. Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R Gerstner, Tracy Batchelor, Jan Unkelbach, and Nicholas Ayache. Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Transactions on Medical Imaging, pp 11, 2016. Keyword(s): Index Terms-Radiotherapy planning, computational tu-, mor growth model, personalization, uncertainty, segmentation, glioblastoma. [bibtex-entry]


  64. Matthieu Lê, Jan Unkelbach, Nicholas Ayache, and Hervé Delingette. Sampling Image Segmentations for Uncertainty Quantification. Medical Image Analysis, 34:42-51, December 2016. Note: Accepted for publication to the journal Elsevier Medical Image Analysis. Keyword(s): Gaussian process, brain tumor, uncertainty, radiotherapy planning, Segmentation. [bibtex-entry]


  65. Hugo Talbot, Federico Spadoni, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Interactive Training System for Interventional Electrocardiology Procedures. Medical Image Analysis, 8789:11-19, 2016. Keyword(s): Endovascular Navigation, Training Simulator, Interactive Simulation, Real-Time Electrophysiology. [bibtex-entry]


  66. 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]


  67. 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]


  68. 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): Radio Frequency ablation, Patient-Specific Simulation, Lattice Boltzmann Method, Heat Transfer, Computational Fluid Dynamics, Therapy Planning. [bibtex-entry]


  69. 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]


  70. 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, Compétences d'apprentissage, Voie endaurale, Chirurgie mini-invasive, Cochléostomie, Implantation cochléaire, Interne en chirurgie. [bibtex-entry]


  71. 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]


  72. 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]


  73. Bjoern Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elisabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian Avants, Nicholas Ayache, Patricia Buendia, Louis Collins, Nicolas Cordier, Jason Corso, Antonio Criminisi, Tilak Das, Hervé Delingette, Cagatay Demiralp, Christopher Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan Iftekharuddin, Raj Jena, Nigel John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, S. J. Price, Tammy Riklin-Raviv, Syed Reza, Michael Ryan, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos Silva, Nuno Sousa, Nagesh Subbanna, Gabor Szekely, Thomas Taylor, Owen Thomas, Nicholas Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen van Leemput. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging, 34(10):1993-2024, October 2014. [bibtex-entry]


  74. Antonio Porras, Martino Alessandrini, Mathieu de Craene, Nicolas Duchateau, Marta Sitges, Bart Bijnens, Hervé Delingette, Maxime Sermesant, Jan d'Hooge, Alejandro Frangi, and Gemma Piella. Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Transactions on Medical Imaging, 33(11):2098 - 2106, June 2014. Keyword(s): Echocardiography, free form deformation (FFD), image registration, motion estimation. [bibtex-entry]


  75. Adityo Prakosa, Maxime Sermesant, Pascal Allain, Nicolas Villain, Christopher Aldo Rinaldi, Kawal Rhode, Reza Razavi, Hervé Delingette, and Nicholas Ayache. Cardiac Electrophysiological Activation Pattern Estimation from Images using a Patient-Specific Database of Synthetic Image Sequences. IEEE Transactions on Biomedical Engineering, 61(2):235 - 245, 2014. [bibtex-entry]


  76. A. Frangi, Denis Friboulet, Nicholas Ayache, H. Delingette, T. Glatard, C. Hoogendoorn, L. Humbert, K. Lekadir, I. Larrabide, Y. Martelli, F. Peyrin, X. Planes, Maxime Sermesant, M.C. Villa-Uriol, T. Whitmarsh, and D. Atkinson. Image Based Modelling. In Peter Coveney, Vanessa Diaz, Peter Hunter, and Marco Viceconti, editors, Computational Biomedicine, pages 59 - 82. Oxford University Press, 2014. [bibtex-entry]


  77. François Chung and Hervé Delingette. Regional Appearance Modeling based on the Clustering of Intensity Profiles. Computer Vision and Image Understanding, 117(6):705-717, 2013. [bibtex-entry]


  78. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Rocio Cabrera Lozoya, Catalina Tobon-Gomez, Philippe Moireau, Rosa Maria Figueras I Ventura, Karim Lekadir, Alfredo Hernandez, Mireille Garreau, Erwan Donal, Christophe Leclercq, Simon G. Duckett, Kawal Rhode, Christopher Aldo Rinaldi, Alejandro F. Frangi, Reza Razavi, Dominique Chapelle, and Nicholas Ayache. Personalization of a Cardiac Electromechanical Model using Reduced Order Unscented Kalman Filtering from Regional Volumes. Medical Image Analysis, 17(7):816-829, May 2013. [bibtex-entry]


  79. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, Michel Sorine, Kawal Rhode, Simon G. Duckett, Christopher Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Preliminary Specificity Study of the Bestel-Clément-Sorine Electromechanical Model of the Heart using Parameter Calibration from Medical Images. Journal of the mechanical behavior of biomedical materials, 20:259-271, 2013. [bibtex-entry]


  80. A. Prakosa, Maxime Sermesant, H. Delingette, S. Marchesseau, E. Saloux, Pascal Allain, N. Villain, and Nicholas Ayache. Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images. IEEE Transactions on Medical Imaging, 32(1):99-109, January 2013. [bibtex-entry]


  81. Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, and Nicholas Ayache. Tumor Growth Parameters Estimation and Source Localization From a Unique Time Point: Application to Low-grade Gliomas. Computer Vision and Image Understanding, 117(3):238-249, 2013. [bibtex-entry]


  82. Hugo Talbot, Stéphanie Marchesseau, Christian Duriez, Maxime Sermesant, Stéphane Cotin, and Hervé Delingette. Towards an Interactive Electromechanical Model of the Heart. Interface Focus, 3(2):4, April 2013. Keyword(s): electrophysiology cardiac mechanics training simulation interactive SOFA framework. [bibtex-entry]


  83. Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastian, Stéphanie Marchesseau, Oscar Camara, Erwan Donal, Mathieu de Craene, Ali Pashaei, Jatin Relan, Martin Steghofer, Pablo Lamata, Hervé Delingette, Simon G. Duckett, Mireille Garreau, Alfredo Hernandez, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas P. Smith, and Alejandro F. Frangi. Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical and Biological Engineering and Computing, pp 1-16, 2013. [bibtex-entry]


  84. Mathieu de Craene, Stéphanie Marchesseau, Brecht Heyde, Hang Gao, M. Alessandrini, Olivier Bernard, Gemma Piella, Antonio Porras, Lennart Tautz, Anja Hennemuth, Adityo Prakosa, Hervé Liebgott, Oudom Somphone, Pascal Allain, S. Makram Ebeid, Hervé Delingette, Maxime Sermesant, Jan d'Hooge, and Eric Saloux. 3D strain assessment in ultrasound (straus): A synthetic comparison of five tracking methodologies. IEEE Transactions on Medical Imaging, 32(9):1632 - 1646, 2013. [bibtex-entry]


  85. Hervé Delingette, F. Billet, Ken C. L. Wong, Maxime Sermesant, Kawal Rhode, M. Ginks, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation. Biomedical Engineering, IEEE Transactions on, 59(1):20 -24, jan. 2012. ISSN: 0018-9294. [bibtex-entry]


  86. Hervé Lombaert, Jean-Marc Peyrat, Pierre Croisille, Stanislas Rapacchi, Laurent Fanton, Farida Cheriet, Patrick Clarysse, Isabelle Magnin, Hervé Delingette, and Nicholas Ayache. Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population. IEEE Trans. on Medical Imaging, 31(7):1436-1447, 2012. [bibtex-entry]


  87. Stéphanie Marchesseau, Hervé Delingette, Maxime Sermesant, and Nicholas Ayache. Fast Parameter Calibration of a Cardiac Electromechanical Model from Medical Images based on the Unscented Transform. Biomechanics and Modeling in Mechanobiology, 2012. [bibtex-entry]


  88. M. Pop, Maxime Sermesant, G. Liu, Jatin Relan, Tommaso Mansi, A. Soong, Jean-Marc Peyrat, M.V. Truong, P. Fefer, Elliot R. McVeigh, Hervé Delingette, A.J. Dick, Nicholas Ayache, and G.A Wright. Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical fluorescence imaging to characterize action potential propagation. Medical Image Analysis, 16(2):505-523, February 2012. [bibtex-entry]


  89. Maxime Sermesant, R. Chabiniok, P. Chinchapatnam, Tommaso Mansi, F. Billet, P. Moireau, Jean-Marc Peyrat, Ken C. L. Wong, Jatin Relan, Kawal Rhode, M. Ginks, P. Lambiase, Hervé Delingette, M. Sorine, C. Aldo Rinaldi, D. Chapelle, Reza Razavi, and Nicholas Ayache. Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Medical Image Analysis, 16(1):201-215, 2012. [bibtex-entry]


  90. François Faure, Christian Duriez, Hervé Delingette, Jérémie Allard, Benjamin Gilles, Stéphanie Marchesseau, Hugo Talbot, Hadrien Courtecuisse, Guillaume Bousquet, Igor Peterlik, and Stéphane Cotin. SOFA: A Multi-Model Framework for Interactive Physical Simulation. In Yohan Payan, editor, Soft Tissue Biomechanical Modeling for Computer Assisted Surgery. Springer, June 2012. HAL ID: hal-00681539. [bibtex-entry]


  91. Nicholas Ayache, Olivier Clatz, Hervé Delingette, Grégoire Malandain, Xavier Pennec, and Maxime Sermesant. Vers un patient numérique personnalisé pour le diagnostic et la thérapie guidés par l'image. Médecine / Sciences, 27:208-213, March 2011. [bibtex-entry]


  92. N. Ayache, H. Delingette, and M. Sermesant. Le coeur numérique personnalisé. Bulletin de l'Académie Nationale de Médecine, 195(8), November 2011. [bibtex-entry]


  93. O. Camara, M. Sermesant, P. Lamata, L. Wang, M. Pop, J. Relan, M. De Craene, H. Delingette, H. Liu, S. Niederer, A. Pashaei, G. Plank, D. Romero, R. Sebastian, K.C.L. Wong, H. Zhang, N. Ayache, A.F. Frangi, P. Shi, N.P. Smith, and G.A. Wright. Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology. Progress in Biophysics and Molecular Biology, 107:122-133, 2011. [bibtex-entry]


  94. François Chung, Jérôme Schmid, Nadia Magnenat-Thalmann, and Hervé Delingette. Comparison of statistical models performance in case of segmentation using a small amount of training datasets. The Visual Computer, 27(2):141-151, February 2011. Note: 10.1007/s00371-010-0536-9. [bibtex-entry]


  95. Hervé Delingette, Florence Billet, Ken C.L. Wong, Maxime Sermesant, S. Rhode, Kawal, Matt Ginks, C.A. Rinaldi, Reza Razavi, and Nicholas Ayache. Personalization of Cardiac Motion and Contractility from Images using Variational Data Assimilation. IEEE Transactions on Biomedical Engineering, 2011. Note: In Press. [Abstract] [bibtex-entry]


  96. E. Konukoglu, J. Relan, U. Cilingir, B. Menze, P. Chinchapatnam, A. Jadidi, H. Cochet, M. Hocini, H. Delingette, P. Jaïs, M. Haïssaguerre, N. Ayache, and M. Sermesant. Efficient Probabilistic Model Personalization Integrating Uncertainty on Data and Parameters: Application to Eikonal-Diffusion Models in Cardiac Electrophysiology. Progress in Biophysics and Molecular Biology, 107(1):134-146, October 2011. [bibtex-entry]


  97. Tommaso Mansi, Xavier Pennec, Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues. International Journal of Computer Vision, 92(1):92-111, 2011. [bibtex-entry]


  98. Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, Maxime Sermesant, Hervé Delingette, Andrew M. Taylor, Younes Boudjemline, Giacomo Pongiglione, and Nicholas Ayache. A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Transactions on Medical Imaging, 9(30):1605-1616, September 2011. [bibtex-entry]


  99. E. Pernod, M. Sermesant, E. Konukoglu, J. Relan, H. Delingette, and N. Ayache. A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation. Computers and Graphics, 35:431-440, 2011. [bibtex-entry]


  100. Jatin Relan, Phani Chinchapatnam, Maxime Sermesant, Kawal Rhode, Matt Ginks, Hervé Delingette, C. Aldo Rinaldi, Reza Razavi, and Nicholas Ayache. Coupled Personalization of Cardiac Electrophysiology Models for Prediction of Ischaemic Ventricular Tachycardia. Journal of the Royal Society Interface Focus, 1(3):396-407, 2011. [bibtex-entry]


  101. Jatin Relan, Mihaela Pop, Hervé Delingette, Graham Wright, Nicholas Ayache, and Maxime Sermesant. Personalisation of a Cardiac Electrophysiology Model using Optical Mapping and MRI for Prediction of Changes with Pacing. IEEE Transactions on Bio-Medical Engineering, 58(12):3339-3349, 2011. [bibtex-entry]


  102. N. Smith, A. de Vecchi, M. McCormick, D. Nordsletten, O. Camara, A.F. Frangi, H. Delingette, M. Sermesant, J. Relan, N. Ayache, M. W. Krueger, W. Schulze, R. Hose, I. Valverde, P. Beerbaum, C. Staicu, M. Siebes, J. Spaan, P. Hunter, J. Weese, H. Lehmann, D. Chapelle, and R. Razavi. euHeart: Personalized and integrated cardiac care using patient-specific cardiovascular modelling. Journal of the Royal Society Interface Focus, 1(3):349-364, 2011. ISSN: 2042-8898. [bibtex-entry]


  103. C. Öhman, D. M. Espino, T. Heimann, M. Baleani, H. Delingette, and M. Viceconti. Subject-specific knee joint model: Design of an experiment to validate a multi-body finite element model. The Visual Computer, 27:153-159, 2011. [bibtex-entry]


  104. T. Heimann and Hervé Delingette. Model-based segmentation. In Thomas Martin Deserno, editor, Biomedical Image Processing. Springer, 2011. ISBN: 978-3-642-15815-5. [bibtex-entry]


  105. Hervé Delingette and Maxime Sermesant. Le coeur numérique. Doc Sciences, 13:26-33, October 2010. [bibtex-entry]


  106. D. Gianni, S. McKeever, T. Yu, R. Britten, Hervé Delingette, A. Frangi, P. Hunter, and Nic Smith. Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project. Philos Transact of the Royal Society A Mathematical Physical Engineering Sciences, 368:3039-3056, June 2010. [bibtex-entry]


  107. Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, and Nicholas Ayache. Extrapolating Glioma Invasion Margin in Brain Magnetic Resonance Images: Suggesting New Irradiation Margins. Medical Image Analysis, 14(2):111-125, 2010. [bibtex-entry]


  108. Ender Konukoglu, Olivier Clatz, Bjoern H. Menze, Marc-André Weber, Bram Stieltjes, Emmanuel Mandonnet, Hervé Delingette, and Nicholas Ayache. Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Transactions on Medical Imaging, 29(1):77-95, 2010. [bibtex-entry]


  109. Stéphanie Marchesseau, T. Heimann, Simon Chatelin, Rémy Willinger, and Hervé Delingette. Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. Progress in Biophysics and Molecular Biology, 103(2-3):185-196, 2010. [bibtex-entry]


  110. Jean-Marc Peyrat, Hervé Delingette, Maxime Sermesant, Chenyang Xu, and Nicholas Ayache. Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons. IEEE Transactions on Medical Imaging, 29(7):1351-1368, July 2010. [bibtex-entry]


  111. Ender Konukoglu, Olivier Clatz, Hervé Delingette, and Nicholas Ayache. Personalization of Reaction-Diffusion Tumor Growth Models in MR Images: Application to Brain Gliomas Characterization and Radiotherapy Planning. In Thomas S. Deisboeck and Georgios Stamatakos, editors, Multiscale Cancer Modeling, Chapman & Hall/CRC Mathematical & Computational Biology. CRC Press, December 2010. [bibtex-entry]


  112. Mihaela Pop, Maxime Sermesant, D Lepiller, M V Truong, Elliot McVeigh, Eugene Crystal, Alexander Dick, Hervé Delingette, Nicholas Ayache, and Graham Wright. Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study. Medical Image Analysis, 13(2):370-80, April 2009. [bibtex-entry]


  113. Nicholas Ayache, Olivier Clatz, Hervé Delingette, Grégoire Malandain, Xavier Pennec, and Maxime Sermesant. Asclepios: a Research Project-Team at INRIA for the Analysis and Simulation of Biomedical Images. In Y. Bertot, G. Huet, J.-J. Lévy, and G. Plotkin, editors, From semantics to computer science: essays in honor of Gilles Kahn, pages 415-436. Cambridge University Press, 2009. [bibtex-entry]


  114. Tommaso Mansi, Barbara André, Michael Lynch, Maxime Sermesant, Hervé Delingette, Younes Boudjemline, and Nicholas Ayache. Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model. In Nadia Magnenat-Thalmann, Jian J. Zhang, and David D. Feng, editors, Recent Advances in the 3D Physiological Human, pages 201-210. Springer, November 2009. ISBN: 978-1-84882-564-2. [bibtex-entry]


  115. Jérôme Schmid, Anders Sandholm, François Chung, Daniel Thalmann, Hervé Delingette, and Nadia Magnenat-Thalmann. Musculoskeletal simulation model generation from MRI datasets and motion capture data. In Nadia Magnenat-Thalmann, Jian J. Zhang, and David D. Feng, editors, Recent Advances in the 3D Physiological Human, pages 3-19. Springer, February 2009. ISBN: 978-1-84882-564-2. [bibtex-entry]


  116. Pierre-Yves Bondiau, Olivier Clatz, Maxime Sermesant, Pierre-Yves Marcy, Hervé Delingette, Marc Frenay, and Nicholas Ayache. Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging. Physics in Medicine and Biology, 53(4):879-93, February 2008. [bibtex-entry]


  117. H. Delingette. Triangular Springs for Modeling Nonlinear Membranes. IEEE Transactions on Visualization and Computer Graphics, 14(2), March/April 2008. [bibtex-entry]


  118. M Sermesant, J M Peyrat, P Chinchapatnam, F Billet, T Mansi, K Rhode, H Delingette, R Razavi, and N Ayache. Toward patient-specific myocardial models of the heart. Heart Failure Clinics, 4(3):289-301, July 2008. [bibtex-entry]


  119. 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. Journal of Computer Aided Surgery, 12(1):43-52, January 2007. [bibtex-entry]


  120. Olivier Clatz, Stéphane Litrico, Hervé Delingette, Philippe Paquis, and Nicholas Ayache. Dynamic Model of Communicating Hydrocephalus for Surgery Simulation. IEEE Transactions on Bio-Medical Engineering, 54(4):755-758, April 2007. [bibtex-entry]


  121. Jean-Marc Peyrat, Maxime Sermesant, Xavier Pennec, Hervé Delingette, Chenyang Xu, Eliot R. McVeigh, and Nicholas Ayache. A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts. IEEE Transactions on Medical Imaging, 26(11):1500-1514, November 2007. [bibtex-entry]


  122. A. Pitiot, H. Delingette, and P.M. Thompson. Learning Shape Correspondence for n-D curves. International Journal of Computer Vision, 71(1):71-88, January 2007. [bibtex-entry]


  123. Olivier Clatz, Emmanuel Mandonnet, Stéphane Chanalet, Christine Lebrun, Ender Konukoglu, Hervé Delingette, Nicholas Ayache, and Pierre-Yves Bondiau. Modèles Biomathématiques de Croissance Des Gliomes : Recherche en Informatique et Perspectives en Neuro-oncologie. Neurologies, 9(93):665-667, 2006. [bibtex-entry]


  124. Hervé Delingette and Nicholas Ayache. La simulation de Chirurgie Hépatique. Pour la science, 52(52):106-109, July 2006. Keyword(s): Simulation. [bibtex-entry]


  125. Hervé Delingette, Xavier Pennec, Luc Soler, Jacques Marescaux, and Nicholas Ayache. Computational Models for Image Guided, Robot-Assisted and Simulated Medical Interventions. Proceedings of the IEEE, 94(9):1678- 1688, September 2006. [bibtex-entry]


  126. Valérie Moreau-Villéger, Hervé Delingette, Maxime Sermesant, Hiroshi Ashikaga, Elliot McVeigh, and Nicholas Ayache. Building Maps of Local Apparent Conductivity of the Epicardium with a 2D Electrophysiological Model of the Heart. IEEE Transactions on Bio-Medical Engineering, 53(8):1457-1466, August 2006. [bibtex-entry]


  127. Maxime Sermesant, Hervé Delingette, and Nicholas Ayache. An Electromechanical Model of the Heart for Image Analysis and Simulation. IEEE Transactions on Medical Imaging, 25(5):612-625, 2006. [bibtex-entry]


  128. Olivier Clatz, Hervé Delingette, Ion-Florin Talos, Alexandra J. Golby, Ron Kikinis, Ferenc Jolesz, Nicholas Ayache, and Simon Warfield. Robust Non-Rigid Registration to Capture Brain Shift from Intra-Operative MRI. IEEE Transactions on Medical Imaging, 24(11):1417-1427, Nov. 2005. Keyword(s): Non-rigid registration, intra-operative magnetic resonance imaging, finite element model, brain shift. [Abstract] [bibtex-entry]


  129. Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, Hervé Delingette, Simon K. Warfield, Grégoire Malandain, and Nicholas Ayache. Realistic Simulation of the 3D Growth of Brain Tumors in MR Images Coupling Diffusion with Mass Effect. IEEE Transactions on Medical Imaging, 24(10):1334-1346, October 2005. Keyword(s): Tumor, brain, growth, model, simulation. [Abstract] [bibtex-entry]


  130. H. Delingette and N. Ayache. Hepatic Surgery Simulation. Communications of the ACM, 48(2):31-36, February 2005. [bibtex-entry]


  131. C. Forest, H. Delingette, and N. Ayache. Removing Tetrahedra from manifold tetrahedralisation : application to real-time surgical simulation. Medical Image Analysis, 9(2):113-122, April 2005. Keyword(s): Surgical simulation, Topological modifications, Manifold meshes. [Abstract] [bibtex-entry]


  132. J. Montagnat and H. Delingette. 4D Deformable Models with temporal constraints : application to 4D cardiac image segmentation. Medical Image Analysis, 9(1):87-100, February 2005. [bibtex-entry]


  133. M. Sermesant, K. Rhode, G. Sanchez-Ortiz, O. Camara, R. Andriantsimiavona, S. Hegde, D. Rueckert, P. Lambiase, C. Bucknall, E. Rosenthal, H. Delingette, D. Hill, N. Ayache, and R. Razavi. Simulation of Cardiac Pathologies using an Electromechanical Biventricular Model and XMR Interventional Imaging. Medical Image Analysis, 9(5):467-480, 2005. [bibtex-entry]


  134. A. Pitiot, H. Delingette, and P.M. Thompson. Automated Image Segmentation: Issues and Applications. In Cornelius T. Leondes, editor, Medical Imaging Systems Technology, volume 3. World Scientific, 2005. [bibtex-entry]


  135. H. Delingette. Réalité Virtuelle et Médecine. Centraliens, 552:17-18, February 2004. [bibtex-entry]


  136. A. Pitiot, H. Delingette, P. M. Thompson, and N. Ayache. Expert Knowledge Guided Segmentation System for Brain MRI. NeuroImage, 23(supplement 1):S85-S96, 2004. Note: Special Issue: Mathematics in Brain Imaging. [bibtex-entry]


  137. Luc Soler, Nicholas Ayache, Stéphane Nicolau, Xavier Pennec, Clément Forest, Hervé Delingette, and Jacques Marescaux. Traitement d'images médicales pour la planification, la simulation et l'aide intra-opératoire des actes chirurgicaux. La Revue de l'Electricité et de l'Electronique, pp 64-71, janvier 2004. [bibtex-entry]


  138. H. Delingette and N. Ayache. Soft Tissue Modeling for Surgery Simulation. In N. Ayache, editor, Computational Models for the Human Body, Handbook of Numerical Analysis (Ed : Ph. Ciarlet), pages 453-550. Elsevier, 2004. [bibtex-entry]


  139. Luc Soler, Nicholas Ayache, Stéphane Nicolau, Xavier Pennec, Clément Forest, Hervé Delingette, Didier Mutter, and Jacques Marescaux. Traitements d'images médicales pour la planification, la simulation et l'aide intra-opératoire des actes chirurgicaux. In M. Faupel, P. Smigielski, and R. Grzymala, editors, Imagerie et Photonique pour les sciences du vivant et la médecine, pages 19-31. Edition Fontis Media, 2004. ISBN: 2-88476-005-9. [bibtex-entry]


  140. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Création d'un Modèle Biomécanique Spécifique du Cerveau par l'Analyse d'Images et son Application à la Neurochirurgie Stéréotaxique. Mécanique et Industrie, 4(4):429-433, 2003. Note: Numéro spécial CFM 2003. [bibtex-entry]


  141. J. Montagnat, M. Sermesant, H. Delingette, G. Malandain, and N. Ayache. Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images. Pattern Recognition Letters, 24(4-5):815-828, February 2003. Note: Special Issue on Ultrasonic Image Processing and Analysis. Keyword(s): anisotropic diffusion, 4D, Heart, segmentation, ultrasound, medical images, motion tracking. [bibtex-entry]


  142. G. Picinbono, H. Delingette, and N. Ayache. Non-Linear Anisotropic Elasticity for Real-Time Surgery Simulation. Graphical Models, 65(5):305-321, September 2003. Keyword(s): journal, simulation. [bibtex-entry]


  143. Maxime Sermesant, Clément Forest, Xavier Pennec, Hervé Delingette, and Nicholas Ayache. Deformable biomechanical models: Application to 4D cardiac image analysis. Medical Image Analysis, 7(4):475-488, December 2003. [bibtex-entry]


  144. G. Picinbono, H. Delingette, and N. Ayache. Modèle déformable élastique non-linéaire pour la simulation de chirurgie en temps réel. Les Comptes Rendus de l'Académie des Sciences (CRAS), C.R. Biologies, 325(4):335-344, 2002. Keyword(s): journal, simulation. [bibtex-entry]


  145. G. Picinbono, J-C. Lombardo, H. Delingette, and N. Ayache. Improving realism of a surgery simulator: linear anisotropic elasticity, complex interactions and force extrapolation. Journal of Visualisation and Computer Animation, 13(3):147-167, July 2002. Keyword(s): journal, simulation. [bibtex-entry]


  146. David Rey, Gérard Subsol, Hervé Delingette, and Nicholas Ayache. Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis. Medical Image Analysis, 6(2):163-179, June 2002. Keyword(s): Automation, Brain, pathology, Human, Image Processing Computer-Assisted, methods, Imaging Three-Dimensional, methods, Magnetic Resonance Imaging, methods, Models Neurological, Multiple Sclerosis, diagnosis, Reproducibility of Results, Sensitivity and Specificity, Support Non-U.S. Gov't. [Abstract] [bibtex-entry]


  147. H. Delingette and J. Montagnat. Shape and Topology Constraints on Parametric Active Contours. Computer Vision and Image Understanding, 83(2):140-171, 2001. Keyword(s): journal, reconstruction. [bibtex-entry]


  148. J. Montagnat, H. Delingette, and N. Ayache. A review of deformable surfaces: topology, geometry and deformation. Image and Vision Computing, 19(14):1023-1040, December 2001. Keyword(s): journal, reconstruction. [bibtex-entry]


  149. L Soler, H Delingette, G Malandain, J Montagnat, N Ayache, C Koehl, O Dourthe, B Malassagne, M Smith, D Mutter, and J Marescaux. Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg, 6(3):131-42, 2001. Keyword(s): Human, Image Processing Computer-Assisted, methods, Liver, anatomy & histology, Support Non-U.S. Gov't, Surgery Computer-Assisted, Tomography X-Ray Computed. [Abstract] [bibtex-entry]


  150. S. Cotin, H. Delingette, and N. Ayache. A Hybrid Elastic Model allowing Real-Time Cutting, Deformations and Force-Feedback for Surgery Training and Simulation. The Visual Computer, 16(8):437-452, 2000. Keyword(s): journal, simulation. [bibtex-entry]


  151. L Soler, H Delingette, G Malandain, N Ayache, C Koehl, J M Clement, O Dourthe, and J Marescaux. An automatic virtual patient reconstruction from CT-scans for hepatic surgical planning. Stud Health Technol Inform, 70:316-22, 2000. Keyword(s): Computer Graphics, Computer Simulation, Hepatectomy, Human, Image Processing Computer-Assisted, Liver Diseases, radiography, Tomography X-Ray Computed, User-Computer Interface. [Abstract] [bibtex-entry]


  152. S. Cotin, H. Delingette, and N. Ayache. Real-time elastic deformations of soft tissues for surgery simulation. IEEE Transactions on Visualization and Computer Graphics, 5(1):62-73, January-March 1999. Keyword(s): journal, simulation. [bibtex-entry]


  153. H. Delingette. General Object Reconstruction based on Simplex Meshes. International Journal of Computer Vision, 32(2):111-146, September 1999. Keyword(s): journal, reconstruction. [bibtex-entry]


  154. J.-L. Dugelay, K. Fintzel, S. Valente, and H. Delingette. Clonage de visage et spatialisation video : Outils pour la téléconférence virtuelle. Traitement du signal, 16(1):60-72, July 1999. Keyword(s): journal, reconstruction. [bibtex-entry]


  155. N. Ayache, S. Cotin, H. Delingette, J.-M. Clément, J. Marescaux, and M. Nord. Simulation of Endoscopic Surgery. Journal of Minimally Invasive Therapy and Allied Technologies (MITAT), 7(2):71-77, July 1998. Keyword(s): journal, simulation. [bibtex-entry]


  156. H. Delingette. Towards Realistic Soft Tissue Modeling in Medical Simulation. Proceedings of the IEEE, pp 512-523, April 1998. Note: Special Issue on Surgery Simulation. Keyword(s): journal, simulation. [bibtex-entry]


  157. J Marescaux, J M Clement, V Tassetti, C Koehl, S Cotin, Y Russier, D Mutter, H Delingette, and N Ayache. Virtual reality applied to hepatic surgery simulation: the next revolution. Annals of Surgery, 228(5):627-34, November 1998. Keyword(s): Computer Simulation, Digestive System Surgical Procedures, methods, Image Processing Computer-Assisted, Liver, surgery, Support Non-U.S. Gov't, journal, simulation. [Abstract] [bibtex-entry]


  158. J. Montagnat and H. Delingette. Globally constrained deformable models for 3D object reconstruction. Signal Processing, 71(2):173-186, 1998. Keyword(s): journal, reconstruction. [bibtex-entry]


  159. L. Soler, G. Malandain, and H. Delingette. Segmentation automatique : application aux angioscanners 3D du foie. Traitement du signal, 15(5):411-431, 1998. Keyword(s): journal, reconstruction. [bibtex-entry]


  160. Nicholas Ayache, Stephane Cotin, and Hervé Delingette. Surgery Simulation with visual and haptic feedback. In Y. Shirai and S. Hirose, editors, Robotics Research, the Eigth International Symposium, pages 311-316. Springer, 1998. Keyword(s): workshop, simulation. [bibtex-entry]


  161. S. Cotin, H. Delingette, N. Ayache, J.M. Clement, J. Marescaux, and M. Nord. Simulation Active de Chirurgie Endoscopique. Revue Européenne de Technologie Biomédicale (RBM), 19(5):167-172, 1997. Keyword(s): journal, simulation. [bibtex-entry]


  162. H. Delingette. Réalité virtuelle et médecine. Revue de la société des électriciens et des électroniciens (REE), 8:43-45, September 1997. Keyword(s): journal, simulation. [bibtex-entry]


  163. G. Quatrehomme, S. Cotin, G. Subsol, H. Delingette, Y. Garidel, G. Grévin, and M. Fidrich. A Fully Three-Dimensional Method for Facial Reconstruction Based on Deformable Models. Journal of Forensic Sciences, 42(4):649-652, July 1997. Keyword(s): journal, medical. [bibtex-entry]


  164. S Cotin, H Delingette, M Bro-Nielsen, N Ayache, J M Clement, V Tassetti, and J Marescaux. Geometric and physical representations for a simulator of hepatic surgery. Stud Health Technol Inform, 29:139-51, 1996. Keyword(s): Computer Simulation, Education Medical, Human, Image Processing Computer-Assisted, Liver, anatomy & histology, Support Non-U.S. Gov't, User-Computer Interface. [Abstract] [bibtex-entry]


  165. H. Delingette and G. Subsol. L'Image dans la Réalité Virtuelle. In Nouvelles Interfaces Homme-Machine, number 18 of ARAGO. Observatoire Français des Techniques Avancées, 1996. Keyword(s): chapter-book, simulation. [bibtex-entry]


  166. M. Hébert, H. Delingette, and K. Ikeuchi. Shape Representation and Image Segmentation Using Deformable Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(7), June 1995. Keyword(s): journal, recognition. [bibtex-entry]


  167. H. Delingette, M. Hébert, and K. Ikeuchi. Shape Representation and Image Segmentation using deformable surfaces. Image and Vision Computing, 10(3):132-144, April 1992. Keyword(s): journal, reconstruction. [bibtex-entry]


Conference articles

  1. Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, and Hervé Delingette. Differentiable Soft Morphological Filters for Medical Image Segmentation. In MICCAI 2024 - Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, October 2024. Keyword(s): Image Segmentation, Morphological Operations, Deep Learning. [bibtex-entry]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. 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]


  13. 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]


  14. 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]


  15. 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]


  16. 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]


  17. 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]


  18. 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]


  19. 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]


  20. 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]


  21. 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]


  22. 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]


  23. 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]


  24. 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]


  25. 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]


  26. 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]


  27. 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]


  28. 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]


  29. 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]


  30. 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]


  31. 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]


  32. 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]


  33. 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]


  34. 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]


  35. Hadrien Courtecuisse, Yinoussa Adagolodjo, Hervé Delingette, Christian Duriez, and Yinoussa Adagolodjo. 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]


  36. 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]


  37. 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]


  38. 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]


  39. 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]


  40. 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]


  41. 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]


  42. 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]


  43. 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]


  44. 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]


  45. 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]


  46. 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]


  47. 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]


  48. 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]


  49. 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]


  50. 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]


  51. 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]


  52. 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]


  53. 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]


  54. 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]


  55. 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]


  56. 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]


  57. 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]


  58. 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]


  59. 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]


  60. 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]


  61. 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]


  62. 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]


  63. 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]


  64. 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]


  65. 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]


  66. 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]


  67. 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]


  68. 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]


  69. 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]


  70. 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]


  71. 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]


  72. 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]


  73. 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]


  74. 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]


  75. 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]


  76. 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]


  77. 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]


  78. 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]


  79. 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]


  80. 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]


  81. 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]


  82. 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]


  83. 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]


  84. 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]


  85. 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]


  86. 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]


  87. 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]


  88. 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]


  89. 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]


  90. 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]


  91. 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]


  92. 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]


  93. 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]


  94. 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]


  95. 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]


  96. 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]


  97. 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]


  98. 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]


  99. 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]


  100. 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]


  101. 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]


  102. 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]


  103. 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]


  104. 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]


  105. 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]


  106. 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]


  107. 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]


  108. 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]


  109. 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]


  110. 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]


  111. 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]


  112. 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]


  113. 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]


  114. 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]


  115. 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]


  116. 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]


  117. 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]


  118. 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]


  119. 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]


  120. 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]


  121. 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]


  122. 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]


  123. 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]


  124. C. Allouche, S. Makram, N. Ayache, and H. Delingette. A new kinetic modeling scheme for the human left ventricle wall motion with MR-tagging imaging. In T. Katila, I.E. Magnin, P. Clarysse, J. Montagnat, and J. Nenonen, editors, Functional Imaging and Modeling of the Heart (FIMH'01), Helsinki, Finland, volume 2230 of LNCS, pages 61-68, 2001. Springer. [bibtex-entry]


  125. C. Allouche, S. Makram, N. Ayache, and H. Delingette. New methods and algorithms for the accurate real-time motion analysis of the left ventricle with MRI-Tagging imaging. In Computer Assisted Radiology and Surgery (CARS), volume 1230, pages 911-916, June 2001. Elsevier. [bibtex-entry]


  126. N. Ayache, D. Chapelle, F. Clément, Y. Coudière, H. Delingette, J.A. Désidéri, M. Sermesant, M. Sorine, and J. Urquiza. Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images. In T. Katila, I.E. Magnin, P. Clarysse, J. Montagnat, and Nenonen J., editors, Functional Imaging and Modeling of the Heart (FIMH'01), Helsinki, Finland, volume 2230 of LNCS, pages 120-127, 2001. Springer. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]


  127. H. Delingette. On Smoothness Measures of Active Contours and Surfaces. In IEEE Workshop on Variational and Level Set Methods in Computer Vision (VLSM 2001), Vancouver, Canada, pages 43-50, July 2001. IEEE Society. Keyword(s): conference, regularization. [bibtex-entry]


  128. H. Delingette. Simulation d'interventions chirurgicales. In Conférence AIM'2001, CHU La Pitié-Salpétrière, Paris, June 2001. [bibtex-entry]


  129. H. Delingette, E. Bardinet, D. Rey, J-D. Lemarechal, J. Montagnat, S. Ourselin, A. Roche, D. Dormont, J. Yelnik, and N. Ayache. YAV++: a Software Platform for Medical Image Processing and Visualization. In Workshop on Interactive Medical Image Visualization and Analysis satellite symposia of MICCAI, IMIVA'01, Utrecht, The Netherlands, October 2001. [bibtex-entry]


  130. G. Odin, G. Quatrehomme, G. Subsol, H. Delingette, B. Mafart, and M.A. de Lumley. Comparison of a Three-Dimensional and a Computerized Assisted Method for Cranio-Facial Reconstruction: Application to Tautavel Man. In XIV International Congress of Prehistoric and Protohistoric Science (Pre-prints), Liège (Belgium), pages 23, September 2001. Université de Liège. [bibtex-entry]


  131. G. Picinbono, H. Delingette, and N. Ayache. Non-linear and anisotropic elastic soft tissue models for medical simulation. In ICRA2001: IEEE International Conference Robotics and Automation, Seoul Korea, May 2001. Note: Best conference paper award. Keyword(s): simulation, Deformations. [bibtex-entry]


  132. M. Sermesant, Y. Coudière, H. Delingette, N. Ayache, and J.A. Désidéri. An Electro-Mechanical Model of the Heart for Cardiac Image Analysis. In W.J. Niessen and M.A. Viergever, editors, 4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), volume 2208 of LNCS, Utrecht, The Netherlands, pages 224-231, October 2001. Keyword(s): 4D, Heart, segmentation, medical images, motion tracking, electromechanical model. [bibtex-entry]


  133. H. Delingette. Surgery Simulation. In Fourth IEEE EMBS International Summer School on Biomedical Imaging, Berder, France, June 2000. IEEE EMBS. [bibtex-entry]


  134. H. Delingette and J. Montagnat. New Algorithms for Controlling Active Contours Shape and Topology. In D. Vernon, editor, European Conference on Computer Vision (ECCV'2000), number 1843 of LNCS, Dublin, Ireland, pages 381-395, June 2000. Springer. Keyword(s): conference, regularization. [bibtex-entry]


  135. J. Montagnat and H. Delingette. Space and Time Shape Constrained Deformable Surfaces for 4D Medical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'2000), volume 1935 of Lectures Notes in Computer Science, Pittsburgh, USA, pages 196-205, October 2000. Springer. Keyword(s): conference, reconstruction. [bibtex-entry]


  136. G. Picinbono, H. Delingette, and N. Ayache. Real-Time Large Displacement Elasticity for Surgery Simulation: Non-Linear Tensor-Mass Model. In Third International Conference on Medical Robotics, Imaging And Computer Assisted Surgery: MICCAI 2000, pages 643-652, October 2000. Keyword(s): conference, simulation. [bibtex-entry]


  137. G. Picinbono, J.-C. Lombardo, H. Delingette, and N. Ayache. Anisotropic Elasticity and Forces Extrapolation to Improve Realism of Surgery Simulation. In ICRA2000: IEEE International Conference Robotics and Automation, San Francisco USA, pages 596-602, April 2000. Keyword(s): conference, simulation. [bibtex-entry]


  138. L. Soler, J.-M. Clément, C. Koehl, H. Delingette, G. Malandain, N. Ayache, O. Dourthe, and J. Marescaux. An Automatic Virtual Patient Reconstruction from CT-Scans for Hepatic Surgical Planning. In Medicine Meets Virtual Reality (MMVR'2000), Studies in Health Technology and Informatic, Los Angeles, January 2000. IOS press. Keyword(s): conference, reconstruction. [bibtex-entry]


  139. L. Soler, H. Delingette, G. Malandain, J. Montagnat, N. Ayache, J.-M. Clément, C. Koehl, O. Dourthe, D. Mutter, and J. Marescaux. A Fully Automatic Anatomical, Pathological and Fonctionnal Segmentation from CT-scans for Hepatic Surgery. In Medical Imaging 2000, SPIE proceedings, San Diego, pages 246-255, February 2000. SPIE. Keyword(s): conference, reconstruction. [bibtex-entry]


  140. L. Soler, O. Dourthe, G. Malandain, J. Montagnat, H. Delingette, and N. Ayache. A new 3D segmentation of liver neoplasm, portal venous system and parenchymal contours. In European Congress of Radiology, Vienne (Autriche), mars 2000. [bibtex-entry]


  141. L. Soler, C. Koehl, H. Delingette, G. Malandain, N. Ayache, D. Mutter, J. Leroy, B. Malassagne, and J. Marescaux. Planification Chirurgicale Hépatique Assistée par Ordinateur. In 11ème Journées de printemps de l'ACHBT, Paris (France), Juin 2000. [bibtex-entry]


  142. H. Delingette. La Simulation Médicale. In Colloque Technologies pour la santé : Refléxions pour l'avenir, Paris, November 1999. SFGBM. Keyword(s): conference, simulation. [bibtex-entry]


  143. H. Delingette. Simulation d'Interventions Chirurgicales. In E. Dombre and W. Khalil, editors, Deuxièmes Journées de la Recherche en Robotique (JNRR'99), Montpellier, pages 109-118, September 1999. Keyword(s): conference, simulation. [bibtex-entry]


  144. H. Delingette. Simulation d'interventions chirurgicales. In 12ème journées de l'association Française d'Infographie Graphique (AFIG'99), Reims, pages 37-48, November 1999. Keyword(s): conference, simulation. [bibtex-entry]


  145. H. Delingette, S. Cotin, and N. Ayache. A Hybrid Elastic Model Allowing Real-Time Cutting Deformations and Force Feedback for Surgery Training and Simulation. In N. Thalmann and D. Thalmann, editors, Computer Animation (Computer Animation'99), pages 70-81, May 1999. IEEE Computer Society. Keyword(s): conference, simulation. [bibtex-entry]


  146. H. Delingette, S. Cotin, and N. Ayache. Efficient Linear Elastic Models of Soft Tissues for real time surgery simulation. In Medecine Meets Virtual Reality VII, Interactive Technology and the New Paradigm for He althcare, pages 139-151, January 1999. IOS Press. Keyword(s): conference, simulation, Virtual Reality, Simulation, Surgery. [bibtex-entry]


  147. J. Montagnat, H. Delingette, and G. Malandain. Cylindrical Echocardiographic Images Segmentation based on 3D Deformable Models. In Medical Image Computing and Computer-Assisted Intervention (MICCAI'99), volume 1679 of Lectures Notes in Computer Science, Cambridge, UK, pages 168-175, September 1999. Springer. Keyword(s): conference, reconstruction. [bibtex-entry]


  148. D. Rey, G. Subsol, H. Delingette, and N. Ayache. Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis. In A. Kuba, M. SM-amal, and A. Todd-Pokropek, editors, Information Processing in Medical Imaging, IPMI'99, LNCS, Visegrád, Hungary, pages 154-167, June 1999. Springer. Keyword(s): conference, reconstruction, multiple sclerosis. [bibtex-entry]


  149. D. Rey, G. Subsol, H. Delingette, and N. Ayache. Using Continuum Mechanics Operators for detection and Quantification of Evolving Processes in 3D Medical Images. In EUROMECH'99, Warsaw, Poland, pages 185-188, May 1999. IPPT PAN. Keyword(s): conference, reconstruction, multiple sclerosis. [bibtex-entry]


  150. L. Soler, J.-M. Clément, C. Koehl, H. Delingette, G. Malandain, N. Ayache, O. Dourthe, D. Mutter, and J. Marescaux. Planification Chirurgicale Hépatique Assistée par Ordinateur. In Journées de la société française de Chirurgie Digestive, Paris, December 1999. [bibtex-entry]


  151. H. Delingette. Initialization of Deformable Models from 3D Data. In Proceedings of the Sixth Int. Conf. on Computer Vision (ICCV'98), Bombay, India, pages 311-316, January 1998. Keyword(s): conference, reconstruction. [bibtex-entry]


  152. K. Fintzel, J.-L. Dugelay, S. Valente, P. Dubois, and H. Delingette. Vers la Téléconférence Virtuelle. In Actes des 6èmes Journées de Travail du GT-RV, Issy-les-Moulineaux, France, pages 21-29, 12-13 mars 1998. Keyword(s): workshop, reconstruction. [bibtex-entry]


  153. S. Valente, J.-L. Dugelay, and H. Delingette. An Analysis/Synthesis Cooperation for Head Tracking and Video Face Cloning. In Workshop on Perception of Human Action, ECCV Conference, Freiburg, Germany, 6 juin 1998. Keyword(s): workshop, reconstruction. [bibtex-entry]


  154. N. Ayache, S. Cotin, and H. Delingette. Surgery simulation with visual and haptic feedback. In Proceedings of the Eighth International Symposium of Robotics Research, Hayama, Japan, October 1997. Keyword(s): workshop, simulation. [bibtex-entry]


  155. H. Delingette. Decimation of isosurfaces with Deformable Models. In Computer Vision, Virtual Reality and Robotics in Medicine, pages 83-92, March 1997. Keyword(s): conference, reconstruction. [bibtex-entry]


  156. H. Delingette, O. Seguin, R. Perrocheau, and P. Ménégazzi. Accuracy evaluation of 3D reconstruction from CT-scan images for inspection of industrial parts. In CEPADUES Ed., editor, Proceedings on the Conference on Quality Control with Artificial Vision (QCAV'97), Le Creusot, France, May 1997. Keyword(s): workshop, reconstruction. [bibtex-entry]


  157. J. Montagnat and H. Delingette. A Hybrid Framework for Surface Registration and Deformable Models. In Computer Vision and Pattern Recognition, CVPR'97, San Juan, Puerto Rico, pages 1041-1046, June 1997. Keyword(s): conference, reconstruction. [bibtex-entry]


  158. J. Montagnat and H. Delingette. Reconstruction surfacique et segmentation robuste à base de maillages déformables. In Proceedings of Sixth Orasis conference (ORASIS'97), La Colle-sur-Loup, France, 1997. Keyword(s): workshop, reconstruction. [bibtex-entry]


  159. J. Montagnat and H. Delingette. Volumetric Medical Images Segmentation using Shape Constrained Deformable Models. In Proceedings of the First Joint Conference CVRMed-MRCAS'97, volume 1205 of Lecture Notes in Computer Science, pages 13-22, March 1997. Keyword(s): conference, reconstruction. [bibtex-entry]


  160. J. Montagnat, H. Delingette, N. Ayache, J.M. Clément, C. Roy, Y. Russier, V. Tassetti, and J. Marescaux. Liver Segmentation in Contrast Enhanced Helical CT-Scans. In Proceedings of World Congress on Medical Physics and Biomedical Engineering, Nice, France, 1997. Keyword(s): workshop, reconstruction. [bibtex-entry]


  161. L. Soler, G. Malandain, and H. Delingette. Segmentation automatique : application aux angioscanners 3D du foie. In Proceedings of Sixth Orasis conference (ORASIS'97), La Colle-sur-Loup, France, 1997. Keyword(s): workshop, reconstruction. [bibtex-entry]


  162. L. Soler, G. Malandain, J. Montagnat, H. Delingette, N. Ayache, J.M. Clément, C. Roy, Y. Russier, V. Tassetti, and J. Marescaux. Automatic Segmentation of Portal Vein in CT-Scans of the Liver. In Proceedings of World Congress on Medical Physics and Biomedical Engineering, number 2, Nice, France, pages 788, 1997. Keyword(s): workshop, reconstruction. [bibtex-entry]


  163. S. Cotin, H. Delingette, and N. Ayache. Real Time Volumetric Deformable Models for Surgery Simulation. In Visualization in Biomedical Computing, Proceedings, volume 1131 of Lecture Notes in Computer Science, September 1996. Springer. Keyword(s): conference, simulation. [bibtex-entry]


  164. S. Cotin, H. Delingette, J.-M. Clement, V. Tassetti, J. Marescaux, and N. Ayache. Volumetric Deformable Models for Simulation of Laparoscopic Surgery. In Proceedings of the International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy, Computer Assisted Radiology (CAR'96), volume 1124 of International Congress Series, June 1996. Elsevier. Keyword(s): conference, simulation. [bibtex-entry]


  165. S. Cotin, H. Delingette, J-M. Clément, V. Tassetti, J. Marescaux, and N. Ayache. Geometric and Physical Representations for a Simulator of Hepatic Surgery. In Medecine Meets Virtual Reality IV, volume 29 of Studies in Health Technology and Informatics, San Diego, USA, pages 139-151, January 1996. IOS Press. Keyword(s): conference, simulation, Virtual Reality, Simulation, Surgery. [bibtex-entry]


  166. S. Cotin, H. Delingette, J-M. Clément, V. Tassetti, J. Marescaux, and N. Ayache. Simulation de chirurgie hépatique avec système de retour de forces. In Interface to Real and Virtual Worlds, pages 139-148, May 1996. AJIIMD. Keyword(s): workshop, simulation, Virtual Reality, Simulation, Surgery. [bibtex-entry]


  167. J.N. Bruneton, F. Schikli, B. Padovani, H. Delingette, and Catherine Maestro. Volumétrie tumorale obtenue à partir d'images scannographiques. In Actes du 1er Colloque sur l'Imagerie et Traitement d'Images, Cannes, France, April 1995. Keyword(s): workshop, medical. [bibtex-entry]


  168. S. Cotin, H. Delingette, and N. Ayache. New Perspectives for Realistic Simulations of Hepatic Surgery. In Actes du Congrès Mondial de Télémedecine, Toulouse, France, December 1995. Keyword(s): workshop, simulation. [bibtex-entry]


  169. G. Quatrehomme, H. Delingette, S. Cotin, G. Subsol, M. Fidrich, P. Bailet, G. Grevin, and A. Ollier. A Fully Tridimensional Method for Facial Reconstruction based on Deformable Models. In International Association for Craniofacial Identification, November 1995. Keyword(s): workshop, medical. [bibtex-entry]


  170. H. Delingette. Adaptive and Deformable models based on Simplex Meshes. In IEEE Workshop of Non-Rigid and Articulated Objects, Austin, Texas, November 1994. Keyword(s): workshop, reconstruction. [bibtex-entry]


  171. H. Delingette. Intrinsic Stabilizers of planar curves. In 3rd European Conference on Computer Vision (ECCV'94), Stockholm, Sweden, June 1994. Keyword(s): conference, regularization. [bibtex-entry]


  172. H. Delingette. Simplex Meshes: a General Representation for 3D Shape Reconstruction. In Proc. of Int. Conf. on Computer Vision and Pattern Recognition (CVPR'94), Seattle, USA, pages 856-857, June 1994. Keyword(s): conference, reconstruction. [bibtex-entry]


  173. Hervé Delingette, Gérard Subsol, Stéphane Cotin, and Jérôme Pignon. A Craniofacial Surgery Simulation Testbed. In Visualization in Biomedical Computing (VBC'94), pages 607-618, octobre 1994. Keyword(s): conference, simulation. [bibtex-entry]


  174. H. Delingette, G. Subsol, S. Cotin, and J. Pignon. Simulation de chirurgie craniofaciale et realite virtuelle. In Interface des Mondes Reels et Virtuels (IMRV'94), Montpellier, pages 399-408, January 1994. Keyword(s): workshop, simulation. [bibtex-entry]


  175. K. Higuchi, H. Delingette, M. Hébert, and K. Ikeuchi. Merging multiple views using a spherical representation. In Proceedings of 2nd IEEE Workshop on CAD-based Vision, Pittsburgh, PA, 1994. Keyword(s): workshop, reconstruction. [bibtex-entry]


  176. H. Delingette, M. Hebert, and K. Ikeuchi. A Spherical Representation for the Recognition of Curved Objects. In Proceedings of the Fourth International Conference on Computer Vision (ICCV'93), Berlin, pages 103-112, May 1993. IEEE. Keyword(s): conference, recognition. [bibtex-entry]


  177. H. Delingette, M. Hébert, and K. Ikeuchi. A Spherical Representation for the recognition of curved objects. In Image Understanding Workshop, pages 547-838, 1993. Keyword(s): workshop, recognition. [bibtex-entry]


  178. H. Delingette, Y. Watanabe, and Y. Suenaga. Simplex based animation. In N. Thalmann and D. Thalmann, editors, Models and Techniques in Computer Animation (Computer Animation'93), pages 13-28, May 1993. Springer. Keyword(s): conference, reconstruction. [bibtex-entry]


  179. H. Delingette, M. Hébert, and K. Ikeuchi. Energy functions for regularization algorithm. In Geometric Methods in Computer Vision, SPIE Vol. 1570, pages 104-115, 1991. SPIE. Keyword(s): workshop, regularization. [bibtex-entry]


  180. H. Delingette, M. Hébert, and K. Ikeuchi. Shape Representation and Image Segmentation Using Deformable Surfaces. In Geometric Methods in Computer Vision, SPIE, Vol. 1570, San Diego, pages 467-472, June 1991. Keyword(s): workshop, reconstruction. [bibtex-entry]


  181. H. Delingette, M. Hébert, and K. Ikeuchi. Shape Representation and Image Segmentation Using Deformable Surfaces. In IEEE Computer Vision and Pattern Recognition (CVPR'91), Maui, Hawai, pages 467-472, June 1991. Keyword(s): conference, reconstruction. [bibtex-entry]


  182. H. Delingette, M. Hébert, and K. Ikeuchi. Trajectory Generation with Curvature Constraint based on Energy Minimization. In Int. Robotics Systems (IROS`91), Osaka, November 1991. Keyword(s): conference, robotics. [bibtex-entry]


  183. T. Choi, H. Delingette, M. Hébert, and K. Ikeuchi. A perception and Manipulation System for collecting rock samples. In SOAR, 1990. Keyword(s): workshop, recognition. [bibtex-entry]


Internal reports

  1. Hugo Talbot, Federico Spadoni, Maxime Sermesant, Nicholas Ayache, and Hervé Delingette. Deliverable D10.4.2. Research Report, January 2013. [bibtex-entry]


  2. Martin W. Krueger, Jatin Relan, Zhong Chen, Maxime Sermesant, Nicholas Ayache, Gunnar Seemann, Olaf Dössel, Nick Linton, C. Aldo Rinaldi, Reza Razavi, Kawal Rhode, and Hervé Delingette. Evaluation of RFA planning based on biophysical models. Deliverables D6.3.3, European project euHeart, May 2012. [bibtex-entry]


  3. M. W. Krueger, J. Relan, H. Delingette, W. Schulze, G. Seemann, and O. Dössel. Model Personalization for AF and VT simulations. Deliverables D6.2.2, European project euHeart, January 2011. [bibtex-entry]


  4. M. W. Krueger, W. Schulze, G. Seemann, O. Dössel, J. Relan, H. Delingette, M. Sermesant, and N. Ayache. Planning of Radiofrequency Ablation for patients with Atrial Fibrillation. Deliverables D6.3.1, European project euHeart, June 2011. [bibtex-entry]


  5. J. Relan, H. Delingette, M. Sermesant, N. Ayache, M. W. Krueger, W. Schulze, G. Seemann, and O. Dössel. Planning of RadioFrequency Ablation for patients with Ventricular Tachycardia. Deliverables D6.3.2, European project euHeart, June 2011. [bibtex-entry]


  6. M. W. Krueger, J. Relan, H. Delingette, M. Sermesant, N. Ayache, G. Seemann, and O. Dössel. Computational Models for AF and VT simulation. Deliverables D6.2.1, European project euHeart, May 2010. [bibtex-entry]


  7. Jean-Marc Peyrat, Maxime Sermesant, Hervé Delingette, Xavier Pennec, Chenyang Xu, Elliot McVeigh, and Nicholas Ayache. Towards a Statistical Atlas of Cardiac Fiber Architecture. Research report RR-5906, INRIA, May 2006. Keyword(s): DT-MRI, DTI, Diffusion Tensor, Log-Euclidean, Cardiac Fiber, Heart, Myocardium, Atlas. [bibtex-entry]


  8. Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, Maxime Sermesant, Simon Warfield, Grégoire Malandain, and Nicholas Ayache. Brain Tumor Growth Simulation. Research report RR-5187, INRIA, 2004. Keyword(s): tumor, model, glioblastoma, brain, Magnetic Resonance Imaging, growth, model, simulation, finite element, biomechanics, diffusion, infiltration, mass effect, Clinical Target Volume, Gross Tumor Volume. [bibtex-entry]


  9. V. Moreau-Villéger, H. Delingette, M. Sermesant, O. Faris, E. McVeigh, and N. Ayache. Global and Local Parameter Estimation of a Model of the Electrical Activity of the Heart. Research Report RR-5269, INRIA, July 2004. Keyword(s): heart modeling, electrophysiology, inverse problem, data assimilation, parameter estimation, FitzHugh-Nagumo. [bibtex-entry]


  10. M. Sermesant, H. Delingette, and N. Ayache. An Electromechanical Model of the Myocardium for Cardiac Image Analysis and Medical Simulation. Research Report RR-5395, INRIA, November 2004. Note: Submitted to the IEEE Trans. in Medical Imaging. Keyword(s): Heart, simulation, physiology, biomechanics. [bibtex-entry]


  11. H. Delingette and J. Montagnat. Topology and Shape Constraints on Parametric Active Contours. Research report RR-3880, INRIA, 2000. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  12. J. Montagnat and H. Delingette. Spatial and Temporal Shape Constrained Deformable Surfaces for 3D and 4D Medical Image Segmentation. Research report RR-4078, INRIA, 2000. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  13. J. Montagnat, H. Delingette, N. Scapel, and N. Ayache. Representation, Shape, Topology and Evolution of Deformable Surfaces. Application to 3D Medical Image Segmentation. Research report RR-3954, INRIA, 2000. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  14. G. Picinbono, H. Delingette, and N. Ayache. Improving Realism of a Surgery Simulator : Linear Anisotropic Elasticity, Complex Interactions and Force Extrapolation. Research report RR-4018, INRIA, 2000. Keyword(s): tech-report, simulation. [bibtex-entry]


  15. G. Picinbono, H. Delingette, and N. Ayache. Non-Linear Anisotropic Elasticity for Real-Time Surgery Simulation Real-time elastic deformations of soft tissues for surgery simulation. Research report RR-4028, INRIA, 2000. Keyword(s): tech-report, simulation. [bibtex-entry]


  16. S. Cotin, H. Delingette, and N. Ayache. Efficient Linear Elastic Models of Soft Tissues for real-time surgery simulation. Research report RR-3510, INRIA, 1998. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  17. S. Cotin, H. Delingette, and N. Ayache. Real-time elastic deformations of soft tissues for surgery simulation. Research report RR-3511, INRIA, 1998. Keyword(s): tech-report, simulation. [bibtex-entry]


  18. H. Delingette. Towards Realistic Soft Tissue Modeling in Medical Simulation. Research report RR-3506, INRIA, 1998. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  19. D. Rey, G. Subsol, H. Delingette, and N. Ayache. Automatic detection and segmentation of evolving processes in 3D medical images: application to multiple sclerosis. Research report RR-3559, INRIA, November 1998. Keyword(s): tech-report, reconstruction, segmentation, automatic detection, evolving processes, vector field analysis, multiple sclerosis. [bibtex-entry]


  20. Luc Soler, G. Malandain, and H. Delingette. Segmentation automatique des réseaux vasculaires dans les images d'angiographie 3D. Research report RR-3496, INRIA, 1998. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  21. S. Valente, J.-L. Dugelay, and H. Delingette. Geometric and Photometric Head Modeling for Facial Analysis Technologies. Technical report RR-98-041, Institut Eurecom, 1998. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  22. H. Delingette. General Object Reconstruction based on Simplex Meshes. Research report RR-3111, Inria, February 1997. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  23. H. Delingette. Simplex Meshes: a General Representation for 3D Shape Reconstruction. Research report RR-2214, INRIA, March 1994. Keyword(s): tech-report, reconstruction. [bibtex-entry]


  24. H. Delingette, G. Subsol, S. Cotin, and J. Pignon. A Craniofacial Surgery Testbed. Research report RR-2199, I.N.R.I.A., Sophia-Antipolis, France, February 1994. Keyword(s): tech-report, simulation. [bibtex-entry]


  25. Herve Delingette, Martial Hébert, and Katsuchi Ikeuchi. Representation and Recognition of Free-Form Surfaces. Technical report CMU-CS-92-214, Carnegie-Mellon Univertsity, Pittsburgh, PA, 1992. Keyword(s): tech-report, recognition. [bibtex-entry]


Patents, standards

  1. Julian Krebs, Tommaso Mansi, Hervé Delingette, and Nicholas Ayache. Probabilist Motion Model for Generating Medical Images or Medical Image Sequences. US16834269, United States, October 2020. [bibtex-entry]


  2. Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi, and Shun Miao. Medical Imaging Diffeomorphic Registration based on Machine Learning. US 2019/0205766 A1, United States, July 2019. [bibtex-entry]


  3. 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]


  4. Chloé Audigier, Tommaso Mansi, Viorel Mihalef, Ali Kamen, Dorin Comaniciu, Puneet Sharma, Saikiran Rapaka, Hervé Delingette, and Nicholas Ayache. System and method for patient specific modeling of liver tumor ablation. US 2014/0136174 A1, United States, May 2014. [bibtex-entry]


  5. S. Cotin, H. Delingette, and N. Ayache. Dispositif électronique de traitement de données-image, pour la simulation du comportement dynamique d'un objet. Brevet français, November 1997. [bibtex-entry]


Manuals, booklets

  1. Nadia Magnenat-Thalmann, Jérôme Schmid, Hervé Delingette, Marco Agus, and José Antonio Iglesias Guitián. 3D Anatomical Modelling and Simulation Concepts. Eurographics 2009 Course Notes, Eurographics 2009, Munich, August 2009. [bibtex-entry]


Miscellaneous

  1. Zihao Wang and Hervé Delingette. Attention for Image Registration (AiR): an unsupervised Transformer approach. Note: Working paper or preprint, May 2021. Keyword(s): Transformer, Images Registration, Deep Learning. [bibtex-entry]


  2. Zihao Wang and Hervé Delingette. Quasi-Symplectic Langevin Variational Autoencoder. Note: Working paper or preprint, June 2021. [bibtex-entry]


  3. Zihao Wang, Zhifei Xu, Jiayi He, Hervé Delingette, and Jun Fan. Long Short-Term Memory Neural Equalizer. Note: Working paper or preprint, November 2020. Keyword(s): decision feedback equalizer, neuromorphic computing, deep learning, LSTM. [bibtex-entry]


  4. Qiao Zheng, Hervé Delingette, Nicolas Duchateau, and Nicholas Ayache. 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. Note: Working paper or preprint, March 2018. Keyword(s): spatial consistency, convolutional neu- ral network, deep learning, myocardial segmentation, propagation. [bibtex-entry]


  5. Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache. Technical Appendix on Sparse Bayesian Regression. MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, September 2014. Note: Technical appendix to a MICCAI 2014 conference paper. Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, and Nicholas Ayache: Sparse Bayesian Registration. Keyword(s): Sparse, Bayesian, Regression, RVM. [bibtex-entry]


  6. Clair Vandersteen, Thomas Demarcy, Hervé Delingette, Charles Raffaelli, Jonathan Laudanski, Thierry Pourcher, Jacques Darcourt, Philippe Franken, Dan Gnansia, Nicholas Ayache, and Nicolas Guevara. Teaching tool for advanced visualization of temporal bone structures by fusion of $\mu$CT and CT scan images. 8th International Symposium on Objective Measures in Auditory Implants, October 2014. Note: Poster. [bibtex-entry]


  7. Hervé Delingette, Polina Golland, and Kensaku Mori. Editorial for the MEDIA special issue on MICCAI 2012, 2013. Note: Editorial of the Medical Image Analysis journal 17 (2013) 711. [bibtex-entry]


  8. Jatin Relan, Maxime Sermesant, Phani Chinchapatnam, Hervé Delingette, Kawal Rhode, Reza Razavi, and Nicholas Ayache. Personalisation of a 3D Macroscopic Cardiac Electrophysiology Model for Simulation of Induced Ischemic Ventricular Tachycardia. First VPH Conference (VPH2010), Brussels), September 2010. [bibtex-entry]


  9. Tommaso Mansi, Barbara André, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, and Younes Boudjemline. Simulation personnalisée de replacements valvulaires pulmonaires grâce à l'utilisation d'un modèle mathématique du coeur. Archives de Pédiatrie - Congrès des Sociétés Françaises Médico-chirurgicales Pédiatriques, June 2009. [bibtex-entry]


  10. J. Relan, M. Sermesant, and H. Delingette, M. Pop, M. Sorine, G.A. Wright, and N. Ayache. Personalisation of 3D Cardiac Electrophysiology Models for valid Predictions: A Step Towards Patient-Specific Ventricular Tachycardia Modelling. The Cardiac Physiome: Multi-scale and Multi-physics Mathematical Modelling Applied to the Heart, Cambridge, UK, July 2009. [bibtex-entry]


  11. Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, and Nicholas Ayache. Extrapolating tumor invasion margins for physiologically determined radiotherapy regions. Presented in DIMACS Workshop: Computational Tumor Modeling, 2006. [bibtex-entry]


  12. Jimena Costa, Hervé Delingette, Jean-Christophe Diaz, William Wibault, and Ann Egelmeers. Towards an automatic delineation of lower abdomen structures for conformational radiotherapy based on CT images. Proceedings of the 44èmes Journées Scientifiques de la Société Française de Physique Médicale (SFPM), June 2005. [Abstract] [bibtex-entry]


  13. L. Soler, G. Malandain, H. Delingette, and J. Montagnat. Computerized anatomical segmentation of the liver from helical CT-Scanners. ERCIM News No.31, October 1997. [bibtex-entry]


  14. N. Ayache, E. Bardinet, S. Benayoun, H. Delingette, G. Malandain, S. Fernández-Vidal, L. Soler, J. Montagnat, S. Cotin, G. Subsol, and J.-P. Thirion. Analysis of medical images : Registration, Atlas, Motion. Audiovisual material produced by INRIA audiovisuel, 1996. Keyword(s): video, simulation. [bibtex-entry]


  15. F. Schikli, H. Delingette, B. Padovani, C. Maestro, N. Ayache, and J.N. Bruneton. Tomodensimétrie et volumétrie tumorale. Actes des Journées Française de la radiologie (JFR'95), October 1995. Keyword(s): workshop, medical. [bibtex-entry]


  16. N. Ayache, E. Bardinet, S. Benayoun, I. Cohen, L.D. Cohen, H. Delingette, J. Feldmar, C. Nastar, G. Subsol, and J.-P. Thirion. Non Rigid Motion (Tracking, Analysis and Simulation). Audiovisual material produced by INRIA audiovisuel, 1994. Keyword(s): video, reconstruction. [bibtex-entry]


  17. Hervé Delingette, Jérôme Pignon, Stéphane Cotin, and Gérard Subsol. Cranio-facial Surgery Modeling. Audiovisual material produced by INRIA audiovisuel, October 1993. [bibtex-entry]


  18. H. Delingette and H. Watanabe. Simplex Mesh Modeling, 1993. Note: Slides 11-13 selected at the ACM SIGGRAPH 93 Slides. Keyword(s): video, reconstruction. [bibtex-entry]



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