Edouard Duchesnay

55 papers A* 2B 1Journal 27Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. Pattern Recognit. Lett. Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2025	—	`conf`	Does Connectome Harmonic Analysis Pass the Spin Test? MICCAI (12) Raphaël Vock, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2025	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2024	J	`jnl`	Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
2024	—	`conf`	How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2024	—	`conf`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. MIDL Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2024	A*	`conf`	Separating common from salient patterns with Contrastive Representation Learning. ICLR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024	J	`jnl`	Separating common from salient patterns with Contrastive Representation Learning. CoRR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024	—	`conf`	Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay
2023	J	`jnl`	A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Frontiers Neuroinformatics Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane
2023	—	`conf`	Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2023	—	`conf`	Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
2023	A*	`conf`	Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2023	—	`conf`	MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis
2023	—	`conf`	Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. ISBI Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin
2023	J	`jnl`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2022	J	`jnl`	Contrastive learning for regression in multi-site brain age prediction. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2022	J	`jnl`	OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay
2022	J	`jnl`	Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2021	J	`jnl`	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
2021	—	`conf`	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay
2021	—	`conf`	UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2020	—	`book`	Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models. Edouard Duchesnay
2018	J	`jnl`	Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay
2018	—	`conf`	Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. PRNI Amicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay
2018	J	`jnl`	Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Trans. Medical Imaging Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Renaud Jardri, Thomas Fovet, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay
2018	—	`ed.`	Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings MLCN/DLF/iMIMIC@MICCAI Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier
2017	—	`conf`	Regional study of the genetic influence on the sulcal pits. ISBI Yann Le Guen, Guillaume Auzias, Ghislaine Dehaene-Lambertz, François Leroy, Jean-François Mangin, Edouard Duchesnay, Olivier Coulon, Vincent Frouin
2014	—	`conf`	Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. PRNI Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay
2013	—	`conf`	Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data. PRNI Anne-Laure Fouque, Clara Fischer, Vincent Frouin, Philippe Ciuciu, Edouard Duchesnay
2012	—	`conf`	Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares. ISBI Edith Le Floch, Philippe Pinel, Arthur Tenenhaus, Laura Trinchera, Jean-Baptiste Poline, Vincent Frouin, Edouard Duchesnay
2012	J	`jnl`	Scikit-learn: Machine Learning in Python CoRR Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay
2012	J	`jnl`	Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage Edith Le Floch, Vincent Guillemot, Vincent Frouin, Philippe Pinel, Christophe Lalanne, Laura Trinchera, Arthur Tenenhaus, Antonio Moreno, Monica Zilbovicius, Thomas Bourgeron, Stanislas Dehaene, Bertrand Thirion, Jean-Baptiste Poline, Edouard Duchesnay
2011	J	`jnl`	Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders. NeuroImage Edouard Duchesnay, Arnaud Cachia, Nathalie Boddaert, Nadia Chabane, Jean-François Mangin, Jean-Luc Martinot, Francis Brunelle, Monica Zilbovicius
2011	J	`jnl`	Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay
2011	—	`conf`	Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. ICMLA (2) Cécilia Damon, Edouard Duchesnay, Marine Depecker
2011	—	`conf`	Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor. MICCAI (2) Anne-Laure Fouque, Pierre Fillard, Anne Bargiacchi, Arnaud Cachia, Monica Zilbovicius, Benjamin Thyreau, Edith Le Floch, Philippe Ciuciu, Edouard Duchesnay
2010	—	`conf`	Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. COMPSTAT Jean-Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion, Vincent Frouin
2008	J	`jnl`	Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations. NeuroImage Arnaud Cachia, Marie-Laure Paillère-Martinot, André Galinowski, Dominique Januel, Renaud de Beaurepaire, Frank Bellivier, Eric Artiges, Jamila Andoh, David Bartrés-Faz, Edouard Duchesnay, Denis Rivière, Marion Plaze, Jean-François Mangin, Jean-Luc Martinot
2008	—	`conf`	Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. ISBI Zhong Yi Sun, Denis Rivière, Edouard Duchesnay, Bertrand Thirion, Fabrice Poupon, Jean-François Mangin
2008	J	`jnl`	Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation. NeuroImage Albertine Dubois, Anne-Sophie Hérard, Guillaume Flandin, Edouard Duchesnay, Laurent Besret, Vincent Frouin, Philippe Hantraye, Gilles Bonvento, Thierry Delzescaux
2008	J	`jnl`	Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics. IEEE Trans. Medical Imaging Renaud Maroy, Raphaël Boisgard, Claude Comtat, Vincent Frouin, Pascal Cathier, Edouard Duchesnay, Frédéric Dollé, Peter E. Nielsen, Régine Trébossen, Bertrand Tavitian
2007	J	`jnl`	Classification Based on Cortical Folding Patterns. IEEE Trans. Medical Imaging Edouard Duchesnay, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas, Dimitri Papadopoulos-Orfanos, Monica Zilbovicius, Jean-Luc Martinot, Jean Régis, Jean-François Mangin
2006	J	`jnl`	Inverse retinotopy: Inferring the visual content of images from brain activation patterns. NeuroImage Bertrand Thirion, Edouard Duchesnay, Edward M. Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Le Bihan, Stanislas Dehaene
2006	—	`conf`	Reading the brain visual system as an inverse problem. ISBI Bertrand Thirion, Edouard Duchesnay, Edward M. Hubbard, Jessica Dubois, Jean-Baptiste Poline, Stanislas Dehaene
2004	J	`jnl`	Brain morphometry using 3D moment invariants. Medical Image Anal. Jean-François Mangin, Fabrice Poupon, Edouard Duchesnay, Denis Rivière, Arnaud Cachia, D. Louis Collins, Alan C. Evans, Jean Régis
2004	J	`jnl`	Object-based morphometry of the cerebral cortex. IEEE Trans. Medical Imaging Jean-François Mangin, Denis Rivière, Arnaud Cachia, Edouard Duchesnay, Yann Cointepas, Dimitri Papadopoulos-Orfanos, D. Louis Collins, Alan C. Evans, Jean Régis
2004	—	`conf`	Population Classification Based on Structural Morphometry of Cortical Sulci. ISBI Edouard Duchesnay, Jean-François Mangin, Alexis Roche, Denis Rivière, Dimitri Papadopoulos-Orfanos, Yann Cointepas
2003	J	`jnl`	Cooperative agents society organized as an irregular pyramid: A mammography segmentation application. Pattern Recognit. Lett. Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet
2001	—	`—`	Agents situés dans l'image et organisés en pyramide irrégulière: Contribution à la segmentation par une approche d'agrégation coopérative et adaptative. (Multi-agent system organized in an irregular Pyramid: Application for image segmentation). Edouard Duchesnay
2001	—	`conf`	An agent-based implementation of irregular pyramid for distributed image segmentation. ETFA (1) Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie
2000	B	`conf`	Irregular adaptative pyramid of agents for segmentation to interpretation of image. SMC Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie