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)

Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models. - Louise Guillon; Bastien Cagna; Benoit Dufumier; Joël Chavas; Denis Rivière; Jean-François Mangin (MLCN@MICCAI, 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)

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. - Joël Chavas; Louise Guillon; Marco Pascucci; Benoit Dufumier; Denis Rivière; Jean-François Mangin (MICCAI (1), 2022)

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)

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). - Benoit Dufumier (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)

Unbiased Supervised Contrastive Learning. - Carlo Alberto Barbano; Benoit Dufumier; Enzo Tartaglione; Marco Grangetto; Pietro Gori (ICLR, 2023)

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

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)

Anatomical Foundation Models for Brain MRIs. - Carlo Alberto Barbano; Matteo Brunello; Benoit Dufumier; Marco Grangetto (CoRR, 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)

What to align in multimodal contrastive learning? - Benoit Dufumier; Javiera Castillo Navarro; Devis Tuia; Jean-Philippe Thiran (ICLR, 2025)

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