



Medical image analysis is the common thread running through my entire career — long before the term “AI” was superimposed on it. From confocal microscopy of the cerebral cortex to intraoperative ultrasound, from CT imaging in prostate brachytherapy to cardiac MRI, each project has asked the same fundamental question: how do you extract useful, robust information from an image that a clinician can actually use, in a real clinical context?
This theme brings together methodological contributions — chamfer distances, skeletonisation, registration, segmentation — and concrete clinical applications in orthopaedics, oncology and cardiology, spanning from my PhD thesis to the most recent projects.
Publications