José Dolz

Centre Hospitalier de l’Université de Montréal — Canada

Computer Science · Physical Sciences

31h-index3.8kcitations214works3.62yr avg
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Research Topics

Advanced Neural Network Applications(74), Domain Adaptation and Few-Shot Learning(56), Medical Image Segmentation Techniques(39), AI in cancer detection(26), Radiomics and Machine Learning in Medical Imaging(26)

Publications214 total

NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation
arXiv (Cornell University)·2025Open Access
AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems
arXiv (Cornell University)·2025Open Access
Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation
Lecture notes in computer science·2025
Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
Lecture notes in computer science·2025
Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction
Lecture notes in computer science·2025
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport
Lecture notes in computer science·2025
Full Conformal Adaptation of Medical Vision-Language Models
Lecture notes in computer science·2025· 2 cited
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Lecture notes in computer science·2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
Lecture notes in computer science·2025· 4 cited
Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
ArXiv.org·2025Open Access
ViLU: Learning Vision-Language Uncertainties for Failure Prediction
arXiv (Cornell University)·2025Open Access
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation
Computers in Biology and Medicine·2025· 2 citedOpen Access
Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation
arXiv (Cornell University)·2025Open Access
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
2025· 1 cited
Conformal Prediction for Zero-Shot Models
2025· 1 cited
Full Conformal Adaptation of Medical Vision-Language Models
arXiv (Cornell University)·2025Open Access
DART$^3$: Leveraging Distance for Test Time Adaptation in Person Re-Identification
arXiv (Cornell University)·2025Open Access
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Medical Image Analysis·2025· 1 cited
GeoLS: an Intensity-based, Geodesic Soft Labeling for Image Segmentation
The Journal of Machine Learning for Biomedical Imaging·2025· 1 citedOpen Access
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Ismail Ben Ayed(34), Christian Desrosiers(15), Éric Granger(12), Hoel Kervadec(8), Hervé Lombaert(6), Adrián Galdrán(5), Laurent Massoptier(5), Jérôme Rony(4), Julio Silva-Rodríguez(4), Marco Pedersoli(4), Maximilien Vermandel(4), Hadi Chakor(3), Soufiane Belharbi(3), Luke McCaffrey(3), Jing Yuan(3), Le Thanh Nguyen-Meidine(3), Madhu Kiran(3), Louis-Antoine Blais-Morin(3), Li Wang(2), Vladimir Fonov(2)