Has (co-)authored over 80 fully peer-reviewed papers, many published in top venues such as MICCAI, IPMI, MedIA, TMI, NeuroImage, CVPR, ICCV, ECCV, ICML, and NeurIPS. Given 5 tutorials on learning with limited supervision at MICCAI (2019-2022) and ICPR(2022), and one on foundation models at MICCAI 2024. Recognized several times as Outstanding Reviewer (MICCAI'20, ECCV'20, CVPR'21, CVPR'22, NeurIPS'22, ICCV'23, CVPR'25). Participated in the organization of three summer schools in Deep Learning for Medical Imaging.
Research Experience
Prior to being appointed as a professor, he was a post-doctoral fellow at the same institution.
Education
Obtained B.Sc and M.Sc from Polytechnic University of Valencia, Spain, and Ph.D. from the University of Lille 2, France, in 2016. Recipient of a Marie-Curie FP7 Fellowship (2013-2016) for doctoral studies.
Background
Associate Professor in the Department of Software and IT Engineering at ETS Montreal. Current research focuses on deep learning, medical imaging, optimization, and learning strategies with limited supervision.