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Nicholas Ayache
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- affiliation: INRIA, France
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2020 – today
- 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) - 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]Jürgen Weese, Nicholas Ayache, Nicolas Smith:
Personalized cardiac modeling and simulations in euHeart. Medical Biol. Eng. Comput. 51(11): 1179-1180 (2013) - [j108]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
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