Edouard Duchesnay

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 23

Top Venues

CoRR

ISBI

NeuroImage

IEEE Trans. Medical Imaging

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. ICLR (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. CoRR (2024)
Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296 (2024)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI (2023)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR (2023)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML (2023)
Corentin Ambroise, Antoine Grigis, Edouard Duchesnay, Vincent Frouin
Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. ISBI (2023)
Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Frontiers Neuroinformatics 17 (2023)
Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA (2023)
Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis
MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI (2023)
Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay
OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage 263 (2022)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR (2022)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive learning for regression in multi-site brain age prediction. CoRR (2022)
Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR (2021)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR (2021)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR (2021)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR (2021)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) (2021)
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
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) (2021)
Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging 37 (11) (2018)
Amicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. PRNI (2018)
Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Renaud Jardri, Thomas Fovet, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Trans. Medical Imaging 37 (2) (2018)
Yann Le Guen, Guillaume Auzias, Ghislaine Dehaene-Lambertz, François Leroy, Jean-François Mangin, Edouard Duchesnay, Olivier Coulon, Vincent Frouin
Regional study of the genetic influence on the sulcal pits. ISBI (2017)
Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. PRNI (2014)
Anne-Laure Fouque, Clara Fischer, Vincent Frouin, Philippe Ciuciu, Edouard Duchesnay
Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data. PRNI (2013)
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
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage 63 (1) (2012)
Edith Le Floch, Philippe Pinel, Arthur Tenenhaus, Laura Trinchera, Jean-Baptiste Poline, Vincent Frouin, Edouard Duchesnay
Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares. ISBI (2012)
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
Scikit-learn: Machine Learning in Python CoRR (2012)
Anne-Laure Fouque, Pierre Fillard, Anne Bargiacchi, Arnaud Cachia, Monica Zilbovicius, Benjamin Thyreau, Edith Le Floch, Philippe Ciuciu, Edouard Duchesnay
Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor. MICCAI (2) (2011)
Edouard Duchesnay, Arnaud Cachia, Nathalie Boddaert, Nadia Chabane, Jean-François Mangin, Jean-Luc Martinot, Francis Brunelle, Monica Zilbovicius
Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders. NeuroImage 57 (3) (2011)
Cécilia Damon, Edouard Duchesnay, Marine Depecker
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. ICMLA (2) (2011)
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
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12 (2011)
Jean-Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion, Vincent Frouin
Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. COMPSTAT (2010)
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
Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations. NeuroImage 39 (3) (2008)
Zhong Yi Sun, Denis Rivière, Edouard Duchesnay, Bertrand Thirion, Fabrice Poupon, Jean-François Mangin
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. ISBI (2008)
Albertine Dubois, Anne-Sophie Hérard, Guillaume Flandin, Edouard Duchesnay, Laurent Besret, Vincent Frouin, Philippe Hantraye, Gilles Bonvento, Thierry Delzescaux
Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation. NeuroImage 40 (2) (2008)
Renaud Maroy, Raphaël Boisgard, Claude Comtat, Vincent Frouin, Pascal Cathier, Edouard Duchesnay, Frédéric Dollé, Peter E. Nielsen, Régine Trébossen, Bertrand Tavitian
Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics. IEEE Trans. Medical Imaging 27 (3) (2008)
Edouard Duchesnay, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas, Dimitri Papadopoulos-Orfanos, Monica Zilbovicius, Jean-Luc Martinot, Jean Régis, Jean-François Mangin
Classification Based on Cortical Folding Patterns. IEEE Trans. Medical Imaging 26 (4) (2007)
Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Stanislas Dehaene
Reading the brain visual system as an inverse problem. ISBI (2006)
Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Le Bihan, Stanislas Dehaene
Inverse retinotopy: Inferring the visual content of images from brain activation patterns. NeuroImage 33 (4) (2006)
Edouard Duchesnay, Jean-François Mangin, Alexis Roche, Denis Rivière, Dimitri Papadopoulos-Orfanos, Yann Cointepas
Population Classification Based on Structural Morphometry of Cortical Sulci. ISBI (2004)
Jean-François Mangin, Fabrice Poupon, Edouard Duchesnay, Denis Rivière, Arnaud Cachia, D. Louis Collins, Alan C. Evans, Jean Régis
Brain morphometry using 3D moment invariants. Medical Image Anal. 8 (3) (2004)
Jean-François Mangin, Denis Rivière, Arnaud Cachia, Edouard Duchesnay, Yann Cointepas, Dimitri Papadopoulos-Orfanos, D. Louis Collins, Alan C. Evans, Jean Régis
Object-based morphometry of the cerebral cortex. IEEE Trans. Medical Imaging 23 (8) (2004)
Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet
Cooperative agents society organized as an irregular pyramid: A mammography segmentation application. Pattern Recognit. Lett. 24 (14) (2003)
Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie
An agent-based implementation of irregular pyramid for distributed image segmentation. ETFA (1) (2001)
Edouard Duchesnay, Jean-Jacques Montois, Yann Jacquelet, Abel Kinie
Irregular adaptative pyramid of agents for segmentation to interpretation of image. SMC (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edouard Duchesnay