no code implementations • 16 Jun 2022 • Reda Abdellah Kamraoui, Boris Mansencal, José V Manjon, Pierrick Coupé
First, we propose to use transfer-learning from a model trained on a segmentation task using single time-points.
no code implementations • 13 Sep 2021 • Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V Manjon, Pierrick Coupé
Semi-supervised learning (SSL) uses unlabeled data to compensate for the scarcity of annotated images and the lack of method generalization to unseen domains, two usual problems in medical segmentation tasks.
no code implementations • 14 Dec 2020 • Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias, Boris Mansencal, José V Manjon, Pierrick Coupé
Instead of proposing another improvement of the segmentation accuracy, we propose a novel method robust to domain shift and performing well on unseen datasets, called DeepLesionBrain (DLB).