Jose Dolz
Associate Professor |
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I am an Associate Professor in the Department of Software and IT Engineering at the ETS Montreal. Prior to be appointed Professor, I was a post-doctoral fellow at the same institution. I obtained my 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. I was recipient of a Marie-Curie FP7 Fellowship (2013-2016) to pursue my doctoral studies. My current research focuses on deep learning, medical imaging, optimization and learning strategies with limited supervision. Up to date, I have (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) and machine learning (ICML, NeurIPS). Furthermore, I have given 5 tutorials on learning with limited supervision at MICCAI (2019-2022) and ICPR(2022), 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).
Balamurali Murugesan, Julio Silva-Rodriguez, Ismail Ben Ayed, Jose Dolz ECCV 2024. |
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Balamurali Murugesan, Julio Silva-Rodriguez, Ismail Ben Ayed, Jose Dolz MICCAI 2024, Early Accept. |
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A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. Julio Silva-Rodriguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz CVPR 2024. |
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LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed CVPR 2024. |
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Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses. Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed MedIA 2024. |
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Anatomically-aware Uncertainty for Semi-supervised Image Segmentation. Sukesh V Adiga, Jose Dolz, Hervé Lombaert MedIA 2024. |
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Parametric Information Maximization for Generalized Category Discovery. Florent Chiaroni,Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed ICCV 2023. [PDF] |
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Trust your neighbours: Penalty-based constraints for model calibration. Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz MICCAI 2023. |
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Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation. Agostina Larrazabal, Cesar Martinez,Jose Dolz*, Enzo Ferrante* MICCAI 2023. [PDF] |
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A Strong Baseline for Generalized Few-Shot Semantic Segmentation. Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz CVPR 2023. |
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Bingyuan Liu, Jerome Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed CVPR 2023. |
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Farzad Beizaee, Christian Desrosiers, Gregory A Lodygensky, Jose Dolz IPMI 2023, Oral Presentation. |
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Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers IPMI 2023, Oral Presentation. |
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Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz MedIA 2023. |
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Sukesh V Adiga, Jose Dolz, Herve Lombaert MIDL 2023, Oral Presentation. |
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Sukesh V Adiga, Jose Dolz, Hervé Lombaert MICCAI 2022. |
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Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz CVPR 2022. |
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Gaurav Patel, Jose Dolz MedIA 2022. |
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Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz CVPR 2021. |
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Julio Silva Rodriguez, Valery Naranjo, Jose Dolz, BMVC 2021. |
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Bach Ngoc Kim, Jose Dolz,, Christian Desrosiers, Pierre-Marc Jodoin BMVC 2021. |
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Jose Dolz,Christian Desrosiers, Ismail Ben Ayed IPMI 2021. |
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Agostina Larrazabal, Cesar Martin, Jose Dolz, Enzo Ferrante MICCAI 2021, Oral Presentation. |
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Soufiane Belharbi, Jerome Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger TMI 2021. |
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Mathilde Bateson, Jose Dolz,, Hoel Kervadec, Herve Lombaert, Ismail Ben Ayed TMI 2021. |
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Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers TMI 2021. |
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Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed MIDL 2021, Oral Presentation (Best Paper Award). |
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Reza Azad, Abdur Fayjie, Claude Kauffman, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz WACV 2021. |
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Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed NeurIPS 2020. |
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Imtiaz Ziko, Jose Dolz, Erig Granger, Ismail Ben Ayed ICML 2020. |
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Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed MICCAI 2020. |
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Adrian Galdran, Jose Dolz,, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed MICCAI 2020. |
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Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed MIDL 2020. |
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Ashish Sinha, Jose Dolz IEEE JBHI 2019. |
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Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed MICCAI 2019. |
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Mathilde Bateson, Jose Dolz, Hoel Kervadec, Herve Lombaert, Ismail Ben Ayed MICCAI 2019. |
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Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed MIDL 2019, Oral Presentation (Best Paper Runner-up). |
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Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed MedIA 2019. |
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Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed TMI 2018. |
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Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed MIDL 2018, Oral Presentation. |
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Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers ISBI 2018, Oral Presentation. |
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Jose Dolz, Ismail Ben Ayed, Christian Desrosiers MICCAI 2017. |
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Jose Dolz, Christian Desrosiers, Ismail Ben Ayed NeuroImage 2017. |
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Jose Dolz, Ismail Ben Ayed, Christian Desrosiers CVPR 2017. |
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2023 | Winter | MTI881:Deep Learning for Computer Vision |
2022 | Fall | MTI881:Deep Learning for Computer Vision |
2022 | Winter | LOG635:Intelligent Systems and Algorithms |
2021 | Fall | MTI881:Deep Learning for Computer Vision |
2021 | Winter | LOG635:Intelligent Systems and Algorithms |
2020 | Fall | GTI771:Advanced Machine learning |
2020 | Winter | LOG635:Intelligent Systems and Algorithms |
2019 | Fall | GTI770:Machine Learning |