Your address will show here +12 34 56 78

Jean Léger

F.R.S.-FNRS Research Fellow

Jean Léger received his Electrical Engineering Master’s degree from Université catholique de Louvain in 2016. He is currently doing a PhD thesis under the supervision of Benoit Macq (UCL) and Christophe De Vleeschouwer (UCL). His current research aims at a better understanding and the design of (deep) machine learning architectures for computer vision applications. His work focuses on adaptive radiotherapy where tumors and organs have to be automatically segmented on CT and CBCT images acquired during the treatment. His is also an active member of the Deep Learning Academy. 

 

Acknowledgments: this research is supported by a Research Fellow grant from Fonds de la Recherche Scientifique (F.R.S.-FNRS).

Projects

Image-guided protontherapy

MED

Big Data for Med Tech

MED

Publications

Loading publications...