Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations. - Alyssa R. Amod; Alexandra Smith; Pearly Joubert; Raymond Confidence; Dong Zhang 009; Udunna C. Anazodo; Dodzi Motchon; Tinashe E. M. Mutsvangwa; Sébastien Quetin (BraTS/CrossMoDA@MICCAI, 2023)

Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans. - Sébastien Quetin; Andrew Heschl; Mauricio Murillo; Rohit Murali; Shirin A. Enger; Farhad Maleki (CoRR, 2024)

Should we pre-train a decoder in contrastive learning for dense prediction tasks? - Sébastien Quetin; Tapotosh Ghosh; Farhad Maleki (CoRR, 2025)