Irregular adaptative pyramid of agents for segmentation to interpretation of image. - Edouard Duchesnay; Jean-Jacques Montois; Yann Jacquelet; Abel Kinie (SMC, 2000)

An agent-based implementation of irregular pyramid for distributed image segmentation. - Edouard Duchesnay; Jean-Jacques Montois; Yann Jacquelet; Abel Kinie (ETFA (1), 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)

Cooperative agents society organized as an irregular pyramid: A mammography segmentation application. - Edouard Duchesnay; Jean-Jacques Montois; Yann Jacquelet (Pattern Recognit. Lett., 2003)

Population Classification Based on Structural Morphometry of Cortical Sulci. - Edouard Duchesnay; Jean-François Mangin; Alexis Roche; Denis Rivière; Dimitri Papadopoulos-Orfanos; Yann Cointepas (ISBI, 2004)

Brain morphometry using 3D moment invariants. - Jean-François Mangin; Fabrice Poupon; Edouard Duchesnay; Denis Rivière; Arnaud Cachia; D. Louis Collins; Alan C. Evans; Jean Régis (Medical Image Anal., 2004)

Object-based morphometry of the cerebral cortex. - Jean-François Mangin; Denis Rivière; Arnaud Cachia; Edouard Duchesnay; Yann Cointepas; Dimitri Papadopoulos-Orfanos; D. Louis Collins; Alan C. Evans; Jean Régis (IEEE Trans. Medical Imaging, 2004)

Reading the brain visual system as an inverse problem. - Bertrand Thirion; Edouard Duchesnay; Edward M. Hubbard; Jessica Dubois; Jean-Baptiste Poline; Stanislas Dehaene (ISBI, 2006)

Inverse retinotopy: Inferring the visual content of images from brain activation patterns. - Bertrand Thirion; Edouard Duchesnay; Edward M. Hubbard; Jessica Dubois; Jean-Baptiste Poline; Denis Le Bihan; Stanislas Dehaene (NeuroImage, 2006)

Classification Based on Cortical Folding Patterns. - Edouard Duchesnay; Arnaud Cachia; Alexis Roche; Denis Rivière; Yann Cointepas; Dimitri Papadopoulos-Orfanos; Monica Zilbovicius; Jean-Luc Martinot; Jean Régis; Jean-François Mangin (IEEE Trans. Medical Imaging, 2007)

Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. - Zhong Yi Sun 003; Denis Rivière; Edouard Duchesnay; Bertrand Thirion; Fabrice Poupon; Jean-François Mangin (ISBI, 2008)

Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations. - 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; et al. (NeuroImage, 2008)

Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes: Application to unilateral visual stimulation. - Albertine Dubois; Anne-Sophie Hérard; Guillaume Flandin; Edouard Duchesnay; Laurent Besret; Vincent Frouin; Philippe Hantraye; Gilles Bonvento; Thierry Delzescaux (NeuroImage, 2008)

Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics. - Renaud Maroy; Raphaël Boisgard; Claude Comtat; Vincent Frouin; Pascal Cathier; Edouard Duchesnay; Frédéric Dollé; Peter E. Nielsen; Régine Trébossen; Bertrand Tavitian (IEEE Trans. Medical Imaging, 2008)

Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. - Jean-Baptiste Poline; Christophe Lalanne; Arthur Tenenhaus; Edouard Duchesnay; Bertrand Thirion; Vincent Frouin (COMPSTAT, 2010)

Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. - Cécilia Damon; Edouard Duchesnay; Marine Depecker (ICMLA (2), 2011)

Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor. - Anne-Laure Fouque; Pierre Fillard; Anne Bargiacchi; Arnaud Cachia; Monica Zilbovicius; Benjamin Thyreau; Edith Le Floch; Philippe Ciuciu; Edouard Duchesnay (MICCAI (2), 2011)

Scikit-learn: Machine Learning in Python. - Fabian Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Peter Prettenhofer; Ron Weiss; Vincent Dubourg; Jake VanderPlas; Alexandre Passos; et al. (J. Mach. Learn. Res., 2011)

Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders. - Edouard Duchesnay; Arnaud Cachia; Nathalie Boddaert; Nadia Chabane; Jean-François Mangin; Jean-Luc Martinot; Francis Brunelle; Monica Zilbovicius (NeuroImage, 2011)

Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares. - Edith Le Floch; Philippe Pinel; Arthur Tenenhaus; Laura Trinchera; Jean-Baptiste Poline; Vincent Frouin; Edouard Duchesnay (ISBI, 2012)

Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. - 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; et al. (NeuroImage, 2012)

Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data. - Anne-Laure Fouque; Clara Fischer; Vincent Frouin; Philippe Ciuciu; Edouard Duchesnay (PRNI, 2013)

Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. - Mathieu Dubois; Fouad Hadj-Selem; Tommy Löfstedt; Matthieu Perrot; Clara Fischer; Vincent Frouin; Edouard Duchesnay (PRNI, 2014)

Regional study of the genetic influence on the sulcal pits. - Yann Le Guen; Guillaume Auzias; Ghislaine Dehaene-Lambertz; François Leroy; Jean-François Mangin; Edouard Duchesnay; Olivier Coulon; Vincent Frouin (ISBI, 2017)

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. - Amicie de Pierrefeu; Tommy Löfstedt; Charles Laidi; Fouad Hadj-Selem; Marion Leboyer; Philippe Ciuciu; Josselin Houenou; Edouard Duchesnay (PRNI, 2018)

Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. - Fouad Hadj-Selem; Tommy Löfstedt; Elvis Dohmatob; Vincent Frouin; Mathieu Dubois; Vincent Guillemot; Edouard Duchesnay (IEEE Trans. Medical Imaging, 2018)

Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. - Amicie de Pierrefeu; Tommy Löfstedt; Fouad Hadj-Selem; Mathieu Dubois; Renaud Jardri; Thomas Fovet; Philippe Ciuciu; Vincent Frouin; Edouard Duchesnay (IEEE Trans. Medical Imaging, 2018)

Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models. - Edouard Duchesnay (2020)

Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. - 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; et al. (MICCAI (2), 2021)

UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. - Robin Louiset; Pietro Gori; Benoit Dufumier; Josselin Houenou; Antoine Grigis; Edouard Duchesnay (ECML/PKDD (1), 2021)

Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. - Benoit Dufumier; Pietro Gori; Ilaria Battaglia; Julie Victor; Antoine Grigis; Edouard Duchesnay (CoRR, 2021)

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. - Benoit Dufumier; Pietro Gori; Julie Victor; Antoine Grigis; Michel Wessa; Paolo Brambilla; Pauline Favre; Mircea Polosan; Colm McDonald; Camille Marie Piguet; Edouard Duchesnay (CoRR, 2021)

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. - Benoit Dufumier; Pietro Gori; Julie Victor; Antoine Grigis; Edouard Duchesnay (CoRR, 2021)

Rethinking Positive Sampling for Contrastive Learning with Kernel. - Benoit Dufumier; Carlo Alberto Barbano; Robin Louiset; Edouard Duchesnay; Pietro Gori (CoRR, 2022)

OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. - Benoit Dufumier; Antoine Grigis; Julie Victor; Corentin Ambroise; Vincent Frouin; Edouard Duchesnay (NeuroImage, 2022)

OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing. - Benoit Dufumier; Antoine Grigis; Julie Victor; Corentin Ambroise; Vincent Frouin; Edouard Duchesnay (IEEE DataPort, 2022)

Integrating Prior Knowledge in Contrastive Learning with Kernel. - Benoit Dufumier; Carlo Alberto Barbano; Robin Louiset; Edouard Duchesnay; Pietro Gori (ICML, 2023)

Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort. - Corentin Ambroise; Antoine Grigis; Edouard Duchesnay; Vincent Frouin (ISBI, 2023)

Contrastive Learning for Regression in Multi-Site Brain Age Prediction. - Carlo Alberto Barbano; Benoit Dufumier; Edouard Duchesnay; Marco Grangetto; Pietro Gori (ISBI, 2023)

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. - Carlo Alberto Barbano; Edouard Duchesnay; Benoit Dufumier; Pietro Gori; Marco Grangetto (Ital-IA, 2023)

MixUp Brain-Cortical Augmentations in Self-supervised Learning. - Corentin Ambroise; Vincent Frouin; Benoit Dufumier; Edouard Duchesnay; Antoine Grigis (MLCN@MICCAI, 2023)

A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. - Clement Poiret; Antoine Bouyeure; Sandesh Patil; Antoine Grigis; Edouard Duchesnay; Matthieu Faillot; Michel Bottlaender; Frederic Lemaitre; Marion Noulhiane (Frontiers Neuroinformatics, 2023)

Separating common from salient patterns with Contrastive Representation Learning. - Robin Louiset; Edouard Duchesnay; Antoine Grigis; Pietro Gori (ICLR, 2024)

Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. - Pierre Auriau; Antoine Grigis; Benoit Dufumier; Robin Louiset; Joël Chavas; Pietro Gori; Jean-François Mangin; Edouard Duchesnay (ISBI, 2024)

How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? - Sara Petiton; Antoine Grigis; Benoit Dufumier; Edouard Duchesnay (ISBI, 2024)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. - Robin Louiset; Edouard Duchesnay; Antoine Grigis; Benoit Dufumier; Pietro Gori (MIDL, 2024)

Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. - Benoit Dufumier; Pietro Gori; Sara Petiton; Robin Louiset; Jean-François Mangin; Antoine Grigis; Edouard Duchesnay (NeuroImage, 2024)

Robust brain age estimation from structural MRI with contrastive learning. - Carlo Alberto Barbano; Benoit Dufumier; Edouard Duchesnay; Marco Grangetto; Pietro Gori (CoRR, 2025)