Ilyass El Allali

anomaly detection

image segmentation

deep learning medical imaging

lesion segmentation

convolutional neural networks unsupervised learning

anomaly localization

autoencoders semantic segmentation

industrial defect detection

computer vision weakly supervised learning

anomaly segmentation

representation learning U-Net architectures

biomedical image analysis

irregularity segmentation vision transformers

anomaly segmentation

self-attention mechanisms out-of-distribution detection

pixel-level anomaly maps

generative models contrastive learning

segmentation of rare events

feature embedding change detection

remote sensing imagery

anomaly segmentation