Cédric Hémon is a researcher in medical image analysis and radiotherapy, with a particular focus on adaptive radiotherapy, image registration, automatic segmentation, synthetic CT generation, and dose accumulation. He obtained his MSc in Signal, Image, Systems, Embedded Electronics and Automation at the Université de Rennes (CentraleSupélec) in 2021 and his PhD in medical image analysis at the Université de Rennes (LTSI, INSERM UMR 1099) in 2025. His research explores AI-based methods to improve image-guided radiotherapy workflows and to quantify uncertainties associated with anatomical changes and dose delivery.