This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Montréal directory, so their courses and email address 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
- $405,451
Enhancing Robustness in Non-Contrast CT Image Analysis for Stroke: Application to Intracerebral Hemorrhage Outcome Prediction
CIHR · 2025 · 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
Enhancing Robustness in Non-Contrast CT Image Analysis for Stroke: Application to Intracerebral Hemorrhage Outcome Prediction
Principal investigators: Létourneau Guillon, Laurent; Aviv, Richard; Ben Ayed, Ismail; Dolz, Jose; Gioia, Laura C
Keywords: Artificial Intelligence; Intracerebral Hemorrhage; Outcome Prediction; Segmentation; Stroke
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
- Ismail Ben Ayed and Jose Dolz: 6 shared papers
- Gregory Lodygensky and Jose Dolz: 1 shared paper
- Radiologie
- Pédiatrie
Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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