3 papers
cs.CV2026
StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows
Youwan Mahé, Axel Plessis, Stéphanie Leplaideur +3
Deep learning frameworks like nnU-Net achieve state-of-theart brain lesion segmentation performance but remain difficult to deploy in clinical research environments due to, among o…
cs.CV2025
Unsupervised Detection of Post-Stroke Brain Abnormalities
Youwan Mahé, Elise Bannier, Stéphanie Leplaideur +2
Post-stroke MRI not only delineates focal lesions but also reveals secondary structural changes, such as atrophy and ventricular enlargement. These abnormalities, increasingly reco…
cs.CV2025
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Youwan Mahé, Elise Bannier, Stéphanie Leplaideur +2
Unsupervised anomaly detection (UAD) based on deep generative modelling has been increasingly explored for identifying pathological brain abnormalities without requiring voxel-leve…