Benoit Dufumier

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Visual Patterns

Supervised Learning

Top Venues

Publications

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)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. ICLR (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)
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)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. CoRR (2022)
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)
Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. MICCAI (1) (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)
Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin
Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models. MLCN@MICCAI (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)