Team
Image Processing and Pattern RecognitionCampus
ParisContact
michail.chatzizacharias@epita.fr
Short bio
I’m a PhD candidate at Inserm/Université Paris Cité, developing AI‑driven imaging biomarkers to predict tumor treatment response. Supervised by Ralph Sinkus (INSERM U1149) and Nicolas Boutry (EPITA LRE), my work bridges histopathology and multi‑modal MRI/MRE/PET/CT within the RHU OPERANDI consortium. Previously, I explored weakly supervised multi‑organ segmentation at Inria under Jonathan Dong (EPFL) and built radiotherapy optimization web tools at Therapanacea under Nikos Paragios (CentraleSupélec). I hold an M.Eng. (Health major) from EPITA and a B.Eng. in Computer & Software Engineering from ATEI of Crete.
Research
Main research interests:
- AI driven imaging biomarkers
- Treatment response prediction
- Tumor microenvironment analysis for personalized treatment
- Weakly supervised learning for medical image segmentation