Nicholas Ayache

Publication Activity (10 Years)

Years Active: 1985-2023
Publications (10 Years): 75

Top Venues

CoRR

IEEE Trans. Medical Imaging

Medical Image Anal.

IEEE Trans. Biomed. Eng.

Publications

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)
Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache
Joint Representation Learning from French Radiological Reports and Ultrasound Images. ISBI (2023)
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 (2023)
Zhijie Fang, Hervé Delingette, Nicholas Ayache
Anatomical Landmark Detection for Initializing US and MR Image Registration. ASMUS@MICCAI (2023)
Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO). CoRR (2023)
Huiyu Li, Nicholas Ayache, Hervé Delingette
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? CoRR (2022)
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)
Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation. UNSURE@MICCAI (2022)
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)
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)
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 (2021)
S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache
Deep reinforcement learning in medical imaging: A literature review. CoRR (2021)
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) (2021)
Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. CoRR (2020)
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 (2020)
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)
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) (2020)
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. ICML (2019)
Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. STACOM@MICCAI (2019)
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)
Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. CoRR (2019)
Sara Colantonio, Nicholas Ayache
The Digital Health Revolution - Introduction to the Special Theme. ERCIM News 2019 (118) (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
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) (2019)
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 (2019)
Fanny Orlhac, Charles Bouveyron, Nicholas Ayache
Radiomics: How to Make Medical Images Speak? ERCIM News 2019 (118) (2019)
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 (2019)
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) (2019)
Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
Learning a Probabilistic Model for Diffeomorphic Registration. IEEE Trans. Medical Imaging 38 (9) (2019)
Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. CoRR (2019)
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) (2018)
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)
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation. CoRR (2018)
Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
Learning a Probabilistic Model for Diffeomorphic Registration. CoRR (2018)
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) (2018)
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. DLMIA/ML-CDS@MICCAI (2018)
Qiao Zheng, Hervé Delingette, Nicolas Duchateau, Nicholas Ayache
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation. CoRR (2018)
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)
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
Learning Structured Deformations using Diffeomorphic Registration. CoRR (2018)
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. CoRR (2018)
Qiao Zheng, Hervé Delingette, Nicholas Ayache
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow. CoRR (2018)
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) (2018)
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
Deep Learning with Mixed Supervision for Brain Tumor Segmentation. CoRR (2018)
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)
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 (2018)
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) (2017)
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) (2017)
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)
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) (2017)
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)
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) (2017)
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 (2017)
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)
Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
Quantifying Registration Uncertainty With Sparse Bayesian Modelling. IEEE Trans. Medical Imaging 36 (2) (2017)
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 (2017)
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 (2017)
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) (2017)
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) (2017)
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)
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)
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)
Nicolas Cordier, Herve Delingette, Matthieu Lê, Nicholas Ayache
Extended Modality Propagation: Image Synthesis of Pathological Cases. IEEE Trans. Medical Imaging 35 (12) (2016)
Anant Suraj Vemuri, Stéphane A. Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache
Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance. CoRR (2016)
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) (2016)
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 (2016)
Roch Molléro, Xavier Pennec, Hervé Delingette, Nicholas Ayache, Maxime Sermesant
A Multiscale Cardiac Model for Fast Personalisation and Exploitation. MICCAI (3) (2016)
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) (2016)
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) (2016)
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) (2016)
Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette
Sampling image segmentations for uncertainty quantification. Medical Image Anal. 34 (2016)
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) (2016)
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)
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 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) (2015)
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)
Herve Lombaert, Michael Arcaro, Nicholas Ayache
Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps. IPMI (2015)
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)
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) (2015)
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)
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) (2015)
Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette
GPSSI: Gaussian Process for Sampling Segmentations of Images. MICCAI (3) (2015)
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)
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 (2015)
Héloïse Bleton, Ján Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache
Myocardial Infarct Localization Using Neighbourhood Approximation Forests. STACOM@MICCAI (2015)
Herve Lombaert, Antonio Criminisi, Nicholas Ayache
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. MICCAI (1) (2015)
Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache
Recognizing Cardiac Magnetic Resonance Acquisition Planes. MIUA (2014)
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)
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)
Marzieh Kohandani Tafreshi, Nicolas Linard, Barbara André, Nicholas Ayache, Tom Vercauteren
Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval. MICCAI (1) (2014)
Herve Lombaert, Darko Zikic, Antonio Criminisi, Nicholas Ayache
Laplacian Forests: Semantic Image Segmentation by Guided Bagging. MICCAI (2) (2014)
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)
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) (2014)
Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
Sparse Bayesian Registration. MICCAI (1) (2014)
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) (2014)
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)
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) (2014)
Erin Stretton, Ezequiel Geremia, Bjoern H. Menze, Hervé Delingette, Nicholas Ayache
Importance of patient DTI's to accurately model glioma growth using the reaction diffusion equation. ISBI (2013)
Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastián, Stéphanie Marchesseau, Oscar Camara, Erwan Donal, Mathieu De Craene, Ali Pashaei, Jatin Relan, M. Steghofer, Pablo Lamata, Hervé Delingette, Simon G. Duckett, Mireille Garreau, Alfredo I. Hernández, Kawal S. Rhode, Maxime Sermesant, Nicholas Ayache, Christophe Leclercq, Reza Razavi, Nicolas Smith, Alejandro F. Frangi
Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical Biol. Eng. Comput. 51 (11) (2013)

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Publication Activity (10 Years)

Top Topics

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Nicholas Ayache