José Dolz

Professor

ÉTS

Biography

José Dolz studies how to train medical image segmentation models without asking a specialist to trace every structure in every scan. His work explores what models can learn from incomplete annotations or unlabelled images, and how to adapt them when a new scanner, imaging protocol or hospital changes the appearance of the data.

Research topics

Medical image segmentation
Weak supervision
Domain adaptation