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ORCIDNicholas Ayache
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- affiliation: INRIA, France
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2020 – today
- 2023
[j153]Nikos Chrisochoides, Yixun Liu, Fotis Drakopoulos, Andriy Kot, Panagiotis A. Foteinos, Christos Tsolakis, Emmanuel Billias, Olivier Clatz, Nicholas Ayache, Andrey Fedorov, Alexandra J. Golby, Peter M. Black, Ron Kikinis:
Comparison of physics-based deformable registration methods for image-guided neurosurgery. Frontiers Digit. Health 5 (2023)- [j152]Paul Tourniaire
, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette:
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images. Medical Image Anal. 85: 102763 (2023) - [c264]Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Joint Representation Learning from French Radiological Reports and Ultrasound Images. ISBI 2023: 1-5 - [c263]Zhijie Fang, Hervé Delingette, Nicholas Ayache:
Anatomical Landmark Detection for Initializing US and MR Image Registration. ASMUS@MICCAI 2023: 165-174 - [i25]Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette:
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO). CoRR abs/2309.08066 (2023) - 2022
- [c262]Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette:
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation. UNSURE@MICCAI 2022: 3-13 - [c261]Huiyu Li, Nicholas Ayache, Hervé Delingette:
Data Stealing Attack on Medical Images: Is It Safe to Export Networks from Data Lakes? DeCaF/FAIR@MICCAI 2022: 28-36 - [i24]Huiyu Li, Nicholas Ayache, Hervé Delingette:
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? CoRR abs/2206.03391 (2022) - 2021
- [j151]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. Medical Image Anal. 73: 102193 (2021) - [j150]Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix. IEEE Trans. Medical Imaging 40(5): 1405-1416 (2021) - [c260]Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette:
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset. COMPAY@MICCAI 2021: 216-226 - [c259]Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Combining Bayesian And Deep Learning Methods For The Delineation Of The Fan In Ultrasound Images. ISBI 2021: 743-747 - [i23]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. CoRR abs/2103.05115 (2021) - 2020
- [j149]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative:
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage 205 (2020) - [j148]Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, Nicholas Ayache:
Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis. NeuroImage 223: 117308 (2020) - [j147]James S. Duncan, Michael F. Insana, Nicholas Ayache:
Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning. Proc. IEEE 108(1): 3-10 (2020) - [i22]Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. CoRR abs/2011.01741 (2020)
2010 – 2019
- 2019
- [j146]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D convolutional neural networks for tumor segmentation using long-range 2D context. Comput. Medical Imaging Graph. 73: 60-72 (2019) - [j145]Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. Medical Image Anal. 56: 80-95 (2019) - [j144]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. Medical Image Anal. 58 (2019) - [j143]Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache:
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage 198: 255-270 (2019) - [j142]Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images. IEEE Trans. Biomed. Eng. 66(1): 30-40 (2019) - [j141]Sophie Giffard-Roisin, Herve Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher A. Rinaldi, Reza Razavi, Nicholas Ayache, Maxime Sermesant:
Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy. IEEE Trans. Biomed. Eng. 66(2): 343-353 (2019) - [j140]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Trans. Medical Imaging 38(9): 2165-2176 (2019) - [c258]Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. ICML 2019: 302-311 - [c257]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. STACOM@MICCAI 2019: 176-185 - [i21]Qiao Zheng, Hervé Delingette, Kenneth Fung, Steffen E. Petersen, Nicholas Ayache:
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. CoRR abs/1902.05811 (2019) - [i20]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. CoRR abs/1902.10952 (2019) - [i19]Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache:
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. CoRR abs/1905.09826 (2019) - [i18]Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi, Pierre-Yves Bondiau, Nicholas Ayache:
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks. CoRR abs/1907.02003 (2019) - [i17]Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette:
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. CoRR abs/1907.13524 (2019) - [i16]Sara Colantonio, Nicholas Ayache:
The Digital Health Revolution - Introduction to the Special Theme. ERCIM News 2019(118) (2019) - [i15]Fanny Orlhac, Charles Bouveyron, Nicholas Ayache:
Radiomics: How to Make Medical Images Speak? ERCIM News 2019(118) (2019) - 2018
- [j139]Nicolas Duchateau, Maxime Sermesant, Herve Delingette, Nicholas Ayache:
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases. IEEE Trans. Medical Imaging 37(3): 755-766 (2018) - [j138]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. IEEE Trans. Medical Imaging 37(9): 2033-2043 (2018) - [j137]Qiao Zheng, Herve Delingette, Nicolas Duchateau, Nicholas Ayache:
3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation. IEEE Trans. Medical Imaging 37(9): 2137-2148 (2018) - [c256]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. MLCN/DLF/iMIMIC@MICCAI 2018: 3-14 - [c255]Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI 2018: 15-23 - [c254]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. DLMIA/ML-CDS@MICCAI 2018: 101-109 - [c253]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. MICCAI (3) 2018: 514-522 - [i14]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR abs/1803.11080 (2018) - [i13]Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette:
Learning Structured Deformations using Diffeomorphic Registration. CoRR abs/1804.07172 (2018) - [i12]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. CoRR abs/1804.08039 (2018) - [i11]Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache:
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR abs/1804.09400 (2018) - [i10]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. CoRR abs/1807.08599 (2018) - [i9]Qiao Zheng, Hervé Delingette, Nicholas Ayache:
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. CoRR abs/1811.03433 (2018) - [i8]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Deep Learning with Mixed Supervision for Brain Tumor Segmentation. CoRR abs/1812.04571 (2018) - [i7]Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. CoRR abs/1812.07460 (2018) - 2017
- [j136]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, Nicholas Ayache:
Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. Int. J. Comput. Assist. Radiol. Surg. 12(9): 1543-1559 (2017) - [j135]Ján Margeta, Antonio Criminisi, Rocío Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache:
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 339-349 (2017) - [j134]Thomas Demarcy, Clair Vandersteen, Nicolas Guevara, Charles Raffaelli, Dan Gnansia, Nicholas Ayache, Hervé Delingette:
Automated analysis of human cochlea shape variability from segmented μCT images. Comput. Medical Imaging Graph. 59: 1-12 (2017) - [j133]Walther H. W. Schulze, Zhong Chen, Jatin Relan, Danila Potyagaylo, Martin W. Krueger, Rashed Karim, Manav Sohal, Anoop Shetty, YingLiang Ma, Nicholas Ayache, Maxime Sermesant, Herve Delingette, Julian Bostock, Reza Razavi, Kawal S. Rhode, Christopher Aldo Rinaldi, Olaf Dössel:
ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical Biol. Eng. Comput. 55(6): 979-990 (2017) - [j132]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Anal. 35: 458-474 (2017) - [j131]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements. Medical Image Anal. 36: 79-97 (2017) - [j130]Rocío Cabrera Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Image-Based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Trans. Biomed. Eng. 64(7): 1446-1454 (2017) - [j129]Sophie Giffard-Roisin, Thomas Jackson, Lauren Fovargue, Jack Lee, Herve Delingette, Reza Razavi, Nicholas Ayache, Maxime Sermesant:
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping. IEEE Trans. Biomed. Eng. 64(9): 2206-2218 (2017) - [j128]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Quantifying Registration Uncertainty With Sparse Bayesian Modelling. IEEE Trans. Medical Imaging 36(2): 607-617 (2017) - [j127]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Trans. Medical Imaging 36(3): 815-825 (2017) - [c252]Sophie Giffard-Roisin, Hervé Delingette, Thomas Jackson, Lauren Fovargue, Jack Lee, C. Aldo Rinaldi, Nicholas Ayache, Reza Razavi, Maxime Sermesant:
Sparse Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology. FIMH 2017: 230-238 - [c251]Roch Molléro, Jakob A. Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, Maxime Sermesant:
Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion. FIMH 2017: 432-440 - [c250]Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen:
Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) 2017: 344-352 - [c249]Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob A. Hauser, Dilveer Panesar, Alexander Jones, Andrew Mayall Taylor, Marcus Kelm, Titus Kühne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, Maxime Sermesant:
Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. MICCAI (2) 2017: 350-358 - [p3]Nicholas Ayache:
Foreword. Deep Learning for Medical Image Analysis 2017 - 2016
- [j126]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
Sampling image segmentations for uncertainty quantification. Medical Image Anal. 34: 42-51 (2016) - [j125]Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec:
A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease. NeuroImage 134: 35-52 (2016) - [j124]Anant Suraj Vemuri, Stéphane Nicolau, Adrien Sportes, Jacques Marescaux, Luc Soler, Nicholas Ayache:
Interoperative Biopsy Site Relocalization in Endoluminal Surgery. IEEE Trans. Biomed. Eng. 63(9): 1862-1873 (2016) - [j123]Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland:
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35(4): 933-946 (2016) - [j122]Nicolas Cordier, Herve Delingette, Nicholas Ayache:
A Patch-Based Approach for the Segmentation of Pathologies: Application to Glioma Labelling. IEEE Trans. Medical Imaging 35(4): 1066-1076 (2016) - [j121]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Trans. Medical Imaging 35(10): 2329-2339 (2016) - [j120]Nicolas Cordier, Herve Delingette, Matthieu Lê, Nicholas Ayache:
Extended Modality Propagation: Image Synthesis of Pathological Cases. IEEE Trans. Medical Imaging 35(12): 2598-2608 (2016) - [j119]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Trans. Medical Imaging 35(12): 2609-2619 (2016) - [c248]Sebastian Ferguson, Maxime Sermesant, Samuel O. Oduneye, Sophie Giffard-Roisin, Michael V. Truong, Labonny Biswas, Nicholas Ayache, Graham A. Wright, Mihaela Pop:
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models. STACOM@MICCAI 2016: 11-20 - [c247]Thomas Demarcy, Clair Vandersteen, Charles Raffaelli, Dan Gnansia, Nicolas Guevara, Nicholas Ayache, Hervé Delingette:
Uncertainty Quantification of Cochlear Implant Insertion from CT Images. CLIP@MICCAI 2016: 27-35 - [c246]Sophie Giffard-Roisin, Lauren Fovargue, Jessica Webb, Roch Molléro, Jack Lee, Hervé Delingette, Nicholas Ayache, Reza Razavi, Maxime Sermesant:
Estimation of Purkinje Activation from ECG: An Intermittent Left Bundle Branch Block Study. STACOM@MICCAI 2016: 135-142 - [c245]Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, Maxime Sermesant:
A Multiscale Cardiac Model for Fast Personalisation and Exploitation. MICCAI (3) 2016: 174-182 - [i6]Anant Suraj Vemuri, Stéphane A. Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache:
Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance. CoRR abs/1610.04097 (2016) - 2015
- [j118]Marco Lorenzi, Nicholas Ayache, Xavier Pennec:
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage 115: 224-234 (2015) - [j117]Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode:
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - [j116]Chloé Audigier, Tommaso Mansi, Herve Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Nicholas Ayache, Dorin Comaniciu:
Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Trans. Medical Imaging 34(7): 1576-1589 (2015) - [j115]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c244]Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi:
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH 2015: 448-456 - [c243]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. IPMI 2015: 275-287 - [c242]Herve Lombaert, Michael Arcaro, Nicholas Ayache:
Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps. IPMI 2015: 474-487 - [c241]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
GPSSI: Gaussian Process for Sampling Segmentations of Images. MICCAI (3) 2015: 38-46 - [c240]Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache:
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI 2015: 108-116 - [c239]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Bayesian Personalization of Brain Tumor Growth Model. MICCAI (2) 2015: 424-432 - [c238]Jessie Mahé, Nicolas Linard, Marzieh Kohandani Tafreshi, Tom Vercauteren, Nicholas Ayache, François Lacombe, Rémi Cuingnet:
Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. MICCAI (1) 2015: 447-454 - [c237]Herve Lombaert, Antonio Criminisi, Nicholas Ayache:
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. MICCAI (1) 2015: 547-555 - 2014
- [j114]Herve Lombaert, Leo J. Grady, Xavier Pennec, Nicholas Ayache, Farida Cheriet:
Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Int. J. Comput. Vis. 107(3): 254-271 (2014) - [j113]Avan Suinesiaputra, Brett R. Cowan, Ahmed O. Al-Agamy, Mustafa A. Elattar, Nicholas Ayache, Ahmed S. Fahmy, Ayman M. Khalifa, Pau Medrano-Gracia, Marie-Pierre Jolly, Alan H. Kadish, Daniel C. Lee, Ján Margeta, Simon K. Warfield, Alistair A. Young:
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images. Medical Image Anal. 18(1): 50-62 (2014) - [j112]Adityo Prakosa, Maxime Sermesant, Pascal Allain, Nicolas Villain, C. Aldo Rinaldi, Kawal S. Rhode, Reza Razavi, Herve Delingette, Nicholas Ayache:
Cardiac Electrophysiological Activation Pattern Estimation From Images Using a Patient-Specific Database of Synthetic Image Sequences. IEEE Trans. Biomed. Eng. 61(2): 235-245 (2014) - [c236]Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Dorin Comaniciu, Nicholas Ayache:
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation. ABDI@MICCAI 2014: 3-12 - [c235]Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec:
A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. MICCAI (2) 2014: 41-48 - [c234]Marzieh Kohandani Tafreshi, Nicolas Linard, Barbara André, Nicholas Ayache, Tom Vercauteren:
Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval. MICCAI (1) 2014: 89-96 - [c233]Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. MCV 2014: 148-159 - [c232]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian Registration. MICCAI (1) 2014: 235-242 - [c231]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI (3) 2014: 289-296 - [c230]Herve Lombaert, Darko Zikic, Antonio Criminisi, Nicholas Ayache:
Laplacian Forests: Semantic Image Segmentation by Guided Bagging. MICCAI (2) 2014: 496-504 - [c229]Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache:
Recognizing Cardiac Magnetic Resonance Acquisition Planes. MIUA 2014: 125-130 - 2013
- [j111]Islem Rekik, Stéphanie Allassonnière, Olivier Clatz, Ezequiel Geremia, Erin Stretton, Hervé Delingette, Nicholas Ayache:
Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas. Comput. Vis. Image Underst. 117(3): 238-249 (2013) - [j110]Stanley Durrleman, Xavier Pennec, Alain Trouvé, José Braga, Guido Gerig, Nicholas Ayache:
Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. Int. J. Comput. Vis. 103(1): 22-59 (2013) - [j109]