Julie Victor

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 5

Top Topics

Learning Process

Geographically Distributed

Classification Accuracy

Top Venues

Publications

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, 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)
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)