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Biography

José Dolz is an Associate Professor in the Department of Software and IT Engineering at the ETS Montreal. Prior to be appointed Professor, he was a post-doctoral fellow at the same institution. He obtained his B.Sc and M.Sc in the Polytechnic University of Valencia, Spain, and his Ph.D. at the University of Lille 2, France, in 2016. José was recipient of a Marie-Curie FP7 Fellowship (2013-2016) to pursue his doctoral studies. His current research focuses on deep learning, medical imaging, optimization and learning strategies with limited supervision. Up to date, he has (co-)authored over 80 fully peer-reviewed papers, many of which published in the top venues in medical imaging (MICCAI/IPMI/MedIA/TMI/NeuroImage), computer vision (CVPR, ICCV, ECCV) and machine learning (ICML, NeurIPS). Furthermore, he has given 5 tutorials on learning with limited supervision at MICCAI (2019-2022) and ICPR(2022), and one in foundation models (MICCAI 2024) participated in the organization of three summer schools in Deep Learning for Medical Imaging and recognized several times as Outstanding Reviewer (MICCAI'20, ECCV'20, CVPR'21, CVPR'22, NeurIPS'22, ICCV'23).