Benoit Dufumier

According to our database, Benoit Dufumier authored at least 22 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Anatomical Foundation Models for Brain MRIs.

Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto

CoRR, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori

CoRR, 2023

MixUp Brain-Cortical Augmentations in Self-supervised Learning.

Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging.

Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto

Proceedings of the Italia Intelligenza Artificiale, 2023

Contrastive Learning for Regression in Multi-Site Brain Age Prediction.

Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

Proceedings of the International Conference on Machine Learning, 2023

Unbiased Supervised Contrastive Learning.

Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Dataset, September, 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

PhD thesis, 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

Rethinking Positive Sampling for Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

CoRR, 2022

Unsupervised Representation Learning of Cingulate Cortical Folding Patterns.

Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels.

Benoit Dufumier, Pietro Gori, 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

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models.

Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 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, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021