| Identifying solar flare precursors using time series of SDO/HMI images and SHARP parameters Y Chen, WB Manchester, AO Hero, G Toth, B DuFumier, T Zhou, X Wang, ... Space weather 17 (10), 1404-1426, 2019 | 77 | 2019 |
| Contrastive learning with continuous proxy meta-data for 3D MRI classification B Dufumier, P Gori, J Victor, A Grigis, M Wessa, P Brambilla, P Favre, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 68 | 2021 |
| Benchmarking cnn on 3d anatomical brain mri: architectures, data augmentation and deep ensemble learning B Dufumier, P Gori, I Battaglia, J Victor, A Grigis, E Duchesnay arXiv preprint arXiv:2106.01132, 2021 | 23 | 2021 |
| Openbhb: a large-scale multi-site brain mri data-set for age prediction and debiasing B Dufumier, A Grigis, J Victor, C Ambroise, V Frouin, E Duchesnay NeuroImage 263, 119637, 2022 | 20 | 2022 |
| Unbiased supervised contrastive learning CA Barbano, B Dufumier, E Tartaglione, M Grangetto, P Gori The Eleventh International Conference on Learning Representations (ICLR), 2023 | 18 | 2023 |
| Conditional alignment and uniformity for contrastive learning with continuous proxy labels B Dufumier, P Gori, J Victor, A Grigis, E Duchesnay arXiv preprint arXiv:2111.05643, 2021 | 12 | 2021 |
| Contrastive learning for regression in multi-site brain age prediction CA Barbano, B Dufumier, E Duchesnay, M Grangetto, P Gori 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 9 | 2023 |
| Unsupervised representation learning of cingulate cortical folding patterns J Chavas, L Guillon, M Pascucci, B Dufumier, D Rivière, JF Mangin International conference on medical image computing and computer-assisted …, 2022 | 6 | 2022 |
| Integrating prior knowledge in contrastive learning with kernel B Dufumier, CA Barbano, R Louiset, E Duchesnay, P Gori International Conference on Machine Learning, 8851-8878, 2023 | 5 | 2023 |
| Detection of abnormal folding patterns with unsupervised deep generative models L Guillon, B Cagna, B Dufumier, J Chavas, D Rivière, JF Mangin International workshop on machine learning in clinical neuroimaging, 63-72, 2021 | 5 | 2021 |
| Representation learning in neuroimaging: transferring from big healthy data to small clinical cohorts B Dufumier université Paris-Saclay, 2022 | 3 | 2022 |
| Rethinking positive sampling for contrastive learning with kernel B Dufumier, CA Barbano, R Louiset, E Duchesnay, P Gori | 3 | 2022 |
| UCSL: A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning R Louiset, P Gori, B Dufumier, J Houenou, A Grigis, E Duchesnay Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 3 | 2021 |
| SepVAE: a contrastive VAE to separate pathological patterns from healthy ones R Louiset, E Duchesnay, A Grigis, B Dufumier, P Gori arXiv preprint arXiv:2307.06206, 2023 | 2 | 2023 |
| Exploring the potential of representation and transfer learning for anatomical neuroimaging: application to psychiatry B Dufumier, P Gori, S Petiton, R Louiset, JF Mangin, A Grigis, ... | 1 | 2024 |
| SUPERVISED DIAGNOSIS PREDICTION FROM CORTICAL SULCI: TOWARD THE DISCOVERY OF EURODEVELOPMENTAL BIOMARKERS IN MENTAL DISORDERS P Auriau, A Grigis, B Dufumier, R Louiset, P Gori, JF Mangin, ... 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024 | | 2024 |
| MixUp brain-cortical augmentations in self-supervised learning C Ambroise, V Frouin, B Dufumier, E Duchesnay, A Grigis International Workshop on Machine Learning in Clinical Neuroimaging, 102-111, 2023 | | 2023 |
| Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging CA Barbano, E Duchesnay, B Dufumier, P Gori, M Grangetto CEUR WORKSHOP PROCEEDINGS 3486, 318-323, 2023 | | 2023 |
| Apprentissage des représentations en neuroimagerie: transfert de connaissance à partir de larges jeux de données contrôles vers de petites cohortes cliniques B Dufumier Université Paris-Saclay, 2022 | | 2022 |
| Representation learning in neuroimaging B DUFUMIER | | |
