Jose 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 ETS Montreal. Dr. Dolz 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. Dr. Dolz 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. He authored over 30 fully peer-reviewed papers, many of which published in the top venues in medical imaging (MICCAI/IPMI/MedIA/TMI/NeuroImage), vision (CVPR) and machine learning (ICML, NeurIPS).
Télécharger le livre :  Less-Supervised Segmentation with CNNs

Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main approaches and state-of-the-art...
Editeur : Academic Press
Parution : 2025-08-29

Format(s) : epub sans DRM
114,99

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