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2020 – today
- 2024
[j2]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: 120665 (2024)- [c11]Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay:
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI 2024: 1-5 - [c10]Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay:
How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI 2024: 1-5 - [i10]Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto:
Anatomical Foundation Models for Brain MRIs. CoRR abs/2408.07079 (2024) - [i9]Benoit Dufumier, Javiera Castillo-Navarro, Devis Tuia, Jean-Philippe Thiran:
What to align in multimodal contrastive learning? CoRR abs/2409.07402 (2024) - 2023
- [c9]Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori:
Unbiased Supervised Contrastive Learning. ICLR 2023 - [c8]Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori:
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML 2023: 8851-8878 - [c7]Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori:
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI 2023: 1-4 - [c6]Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto:
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA 2023: 318-323 - [c5]Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis:
MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI 2023: 102-111 - [i8]Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori:
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR abs/2307.06206 (2023) - 2022
- [b1]Benoit Dufumier:
Apprentissage des représentations en neuroimagerie : transfert de connaissance à partir de larges jeux de données contrôles vers de petites cohortes cliniques. (Representation learning in neuroimaging : transferring from big healthy data to small clinical cohorts). University of Paris-Saclay, France, 2022 - [j1]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: 119637 (2022) - [c4]Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin:
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. MICCAI (1) 2022: 77-87 - [d1]Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay:
OpenBHB: a Multi-Site Brain MRI Dataset for Age Prediction and Debiasing. IEEE DataPort, 2022
- [i7]Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori:
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR abs/2206.01646 (2022) - [i6]Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori:
Unbiased Supervised Contrastive Learning. CoRR abs/2211.05568 (2022) - [i5]Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori:
Contrastive learning for regression in multi-site brain age prediction. CoRR abs/2211.08326 (2022) - 2021
- [c3]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: 58-68 - [c2]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: 63-72 - [c1]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: 755-771 - [i4]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 abs/2106.01132 (2021) - [i3]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 abs/2106.08808 (2021) - [i2]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 abs/2107.01988 (2021) - [i1]Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR abs/2111.05643 (2021)
Coauthor Index
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