3 papers
cs.CV2026
Unsupervised Deep Generative Models for Anomaly Detection in Neuroimaging: A Systematic Scoping Review
Youwan Mahé, Youwan Mahé, Elise Bannier +4
Unsupervised anomaly detection (UAD) based on deep generative modelling has been increasingly explored for identifying pathological brain abnormalities without requiring voxel-leve…
cs.CV2025
From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection
Manuel Nkegoum, Minh-Tan Pham, Ãlisa Fromont +2
Multispectral object detection is critical for safety-sensitive applications such as autonomous driving and surveillance, where robust perception under diverse illumination conditi…
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…