Faculty profile
Jose Dolz
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a École de technologie supérieure directory, so their courses may be missing. Find their university profile.
Latest papers
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation.
Computers in biology and medicine · 2025
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.
Medical image analysis · 2025 · senior author
Deep Learning Algorithms for Bladder Cancer Segmentation on Multi-Parametric MRI.
Cancers · 2024
Latest funding
- $12,500
Limited-supervision for efficient medical image understanding
NSERC · 2020 · Principal investigator
- $145,000
Limited-supervision for efficient medical image understanding
NSERC · 2020 · Principal investigator
16 publications.
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation.
Matzkin F, Larrazabal A, Milone DH, Dolz J, Ferrante E
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.
Beizaee F, Lodygensky GA, Adamson CL, Thompson DK, Cheong JLY, Spittle AJ, Anderson PJ, Desrosiers C, Dolz J
Deep Learning Algorithms for Bladder Cancer Segmentation on Multi-Parametric MRI.
Gumus KZ, Nicolas J, Gopireddy DR, Dolz J, Jazayeri SB, Bandyk M
Anatomically-aware uncertainty for semi-supervised image segmentation.
Adiga V S, Dolz J, Lombaert H
Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks.
Beizaee F, Bona M, Desrosiers C, Dolz J, Lodygensky G
Source-free domain adaptation for image segmentation.
Bateson M, Kervadec H, Dolz J, Lombaert H, Ben Ayed I
Constrained unsupervised anomaly segmentation.
Silva-Rodríguez J, Naranjo V, Dolz J
Weakly supervised segmentation with cross-modality equivariant constraints.
Patel G, Dolz J
MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons.
Bandyk MG, Gopireddy DR, Lall C, Balaji KC, Dolz J
Boundary loss for highly unbalanced segmentation.
Kervadec H, Bouchtiba J, Desrosiers C, Granger E, Dolz J, Ben Ayed I
Limited-supervision for efficient medical image understanding
Principal investigators: Dolz, Jose
Limited-supervision for efficient medical image understanding
Principal investigators: Dolz, Jose
Keywords: medical image segmentation; machine learning; deep learning; weak supervision
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Jose Dolz and Christian Desrosiers: 7 shared papers
- Jose Dolz and Ismail Ben Ayed: 6 shared papers
- Christian Desrosiers and Ismail Ben Ayed: 5 shared papers
- Christian Desrosiers and Herve Lombaert: 3 shared papers
- Christian Desrosiers and Marco Pedersoli: 3 shared papers
- Gregory Lodygensky and Jose Dolz: 1 shared paper
- Gregory Lodygensky and Christian Desrosiers: 1 shared paper
- Jose Dolz and Herve Lombaert: 1 shared paper
- Jose Dolz and Eric Granger: 1 shared paper
- Jose Dolz and Marco Pedersoli: 1 shared paper
- Christian Desrosiers and Eric Granger: 1 shared paper
- Eric Granger and Ismail Ben Ayed: 1 shared paper
- Ismail Ben Ayed and Marco Pedersoli: 1 shared paper
- Génie logiciel et des TI
- Systems Engineering
- Genie Logiciel et TI
- Génie de la production automatisée
- Pédiatrie
Co-authors at École de technologie supérieure, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Christian Desrosiers
Génie logiciel et des TI
7 shared papers, latest 2025
Ismail Ben Ayed
Génie de la production automatisée
6 shared papers, latest 2022
Marco Pedersoli
Systems Engineering
1 shared papers, latest 2020
Herve Lombaert
Génie logiciel et des TI
1 shared papers, latest 2024
Eric Granger
Systems Engineering
1 shared papers, latest 2021
Gregory Lodygensky
Pédiatrie
1 shared papers, latest 2023
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