Jose Dolz
Scholar

Jose Dolz

Google Scholar ID: yHQIFFMAAAAJ
Associate Professor, ETS Montreal
Medical image segmentationComputer VisionWeakly supervised learningMachine learningMedical
Citations & Impact
All-time
Citations
7,525
 
H-index
42
 
i10-index
78
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • 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.