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Scopus Author ID: 56578010400

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Canada

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Employment (4)

Ecole de Technologie Superieure de Montreal: Montreal, CA

2018-11-01 to present | Assistant Professor
Employment
Source: Self-asserted source
Jose Dolz

Ecole de Technologie Superieure de Montreal: Montreal, Quebec, CA

2016-07-22 to 2018-10-31 | Post-doctoral researcher (LIVIA)
Employment
Source: Self-asserted source
Jose Dolz

INSERM U1189: Lille, FR

2013-12-01 to 2016-06-15
Employment
Source: Self-asserted source
Jose Dolz

AQUILAB: Los Les Lille, FR

2012-11-19 to 2016-05-15 (Research)
Employment
Source: Self-asserted source
Jose Dolz

Education and qualifications (1)

Université du Droit et la Santé de Lille 2 - Faculté de Médecine Henri-Warembourg: Lille, Nord-Pas de Calais, FR

2013-12-01 to 2016-06-15 | PhD
Education
Source: Self-asserted source
Jose Dolz

Works (42)

Robust Calibration of Large Vision-Language Adapters

2025 | Book chapter
DOI: 10.1007/978-3-031-72691-0_9
Contributors: Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz
Source: check_circle
Crossref

A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision

Medical Image Analysis
2025-01 | Journal article
DOI: 10.1016/j.media.2024.103357
Contributors: Julio Silva-Rodríguez; Hadi Chakor; Riadh Kobbi; Jose Dolz; Ismail Ben Ayed
Source: check_circle
Crossref

Class and Region-Adaptive Constraints for Network Calibration

2024 | Book chapter
DOI: 10.1007/978-3-031-72111-3_6
Contributors: Balamurali Murugesan; Julio Silva-Rodriguez; Ismail Ben Ayed; Jose Dolz
Source: check_circle
Crossref

Few-Shot Adaptation of Medical Vision-Language Models

2024 | Book chapter
DOI: 10.1007/978-3-031-72390-2_52
Contributors: Fereshteh Shakeri; Yunshi Huang; Julio Silva-Rodríguez; Houda Bahig; An Tang; Jose Dolz; Ismail Ben Ayed
Source: check_circle
Crossref

Anatomically-aware uncertainty for semi-supervised image segmentation

Medical Image Analysis
2024-01 | Journal article
DOI: 10.1016/j.media.2023.103011
Contributors: Sukesh Adiga V.; Jose Dolz; Herve Lombaert
Source: check_circle
Crossref

Do we really need dice? The hidden region-size biases of segmentation losses

Medical Image Analysis
2024-01 | Journal article
DOI: 10.1016/j.media.2023.103015
Contributors: Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed
Source: check_circle
Crossref

Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation

2023 | Book chapter
DOI: 10.1007/978-3-031-34048-2_55
Contributors: Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers
Source: check_circle
Crossref

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration

2023 | Book chapter
DOI: 10.1007/978-3-031-43898-1_55
Contributors: Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz
Source: check_circle
Crossref

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

Machine Learning for Biomedical Imaging
2023-03-06 | Journal article
DOI: 10.59275/j.melba.2023-5g54
Contributors: Jérôme Rony; Soufiane Belharbi; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger
Source: check_circle
Crossref

Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation

2022 | Book chapter
DOI: 10.1007/978-3-031-16452-1_26
Contributors: Sukesh Adiga Vasudeva; Jose Dolz; Herve Lombaert
Source: check_circle
Crossref

Attention-Based Dynamic Subspace Learners for Medical Image Analysis

IEEE Journal of Biomedical and Health Informatics
2022-09 | Journal article
DOI: 10.1109/JBHI.2022.3186882
Contributors: Sukesh Adiga V; Jose Dolz; Herve Lombaert
Source: check_circle
Crossref

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

IEEE Transactions on Medical Imaging
2022-03 | Journal article
DOI: 10.1109/TMI.2021.3123461
Contributors: Soufiane Belharbi; Jerome Rony; Jose Dolz; Ismail Ben Ayed; Luke Mccaffrey; Eric Granger
Source: check_circle
Crossref

Self-Learning for Weakly Supervised Gleason Grading of Local Patterns

IEEE Journal of Biomedical and Health Informatics
2021-08 | Journal article
DOI: 10.1109/JBHI.2021.3061457
Contributors: Julio Silva-Rodriguez; Adrian Colomer; Jose Dolz; Valery Naranjo
Source: check_circle
Crossref

Constrained Domain Adaptation for Image Segmentation

IEEE Transactions on Medical Imaging
2021-07 | Journal article
DOI: 10.1109/TMI.2021.3067688
Contributors: M. Bateson; J. Dolz; H. Kervadec; H. Lombaert; I. Ben Ayed
Source: check_circle
Crossref

MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons

Computers in Biology and Medicine
2021-07 | Journal article
DOI: 10.1016/j.compbiomed.2021.104472
Contributors: Mark G. Bandyk; Dheeraj R. Gopireddy; Chandana Lall; K.C. Balaji; Jose Dolz
Source: check_circle
Crossref

Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images

IEEE Transactions on Medical Imaging
2021-07 | Journal article
DOI: 10.1109/TMI.2021.3065727
Contributors: Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers
Source: check_circle
Crossref

Multi-Scale Self-Guided Attention for Medical Image Segmentation

IEEE Journal of Biomedical and Health Informatics
2021-01 | Journal article
DOI: 10.1109/JBHI.2020.2986926
Contributors: Ashish Sinha; Jose Dolz
Source: check_circle
Crossref

Discretely-constrained deep network for weakly supervised segmentation

Neural Networks
2020-10 | Journal article
DOI: 10.1016/j.neunet.2020.07.011
Contributors: Jizong Peng; Hoel Kervadec; Jose Dolz; Ismail Ben Ayed; Marco Pedersoli; Christian Desrosiers
Source: check_circle
Crossref

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

Computerized Medical Imaging and Graphics
2020-01 | Journal article
DOI: 10.1016/j.compmedimag.2019.101660
Contributors: Jose Dolz; Christian Desrosiers; Li Wang; Jing Yuan; Dinggang Shen; Ismail Ben Ayed
Source: check_circle
Crossref

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

IEEE Transactions on Medical Imaging
2019-09 | Journal article
DOI: 10.1109/TMI.2019.2901712
Contributors: Li Wang; Dong Nie; Guannan Li; Elodie Puybareau; Jose Dolz; Qian Zhang; Fan Wang; Jing Xia; Zhengwang Wu; Jia-Wei Chen et al.
Source: check_circle
Crossref

Constrained-CNN losses for weakly supervised segmentation

Medical Image Analysis
2019-05 | Journal article
DOI: 10.1016/j.media.2019.02.009
Contributors: Hoel Kervadec; Jose Dolz; Meng Tang; Eric Granger; Yuri Boykov; Ismail Ben Ayed
Source: check_circle
Crossref

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

NeuroImage
2018 | Journal article
DOI: https://doi.org/10.1016/j.neuroimage.2017.04.039
Source: Self-asserted source
Jose Dolz

An Attention Model for group-level emotion recognition

Proceedings of the 2018 on International Conference on Multimodal Interaction
2018 | Conference paper
Source: Self-asserted source
Jose Dolz

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

NeuroImage
2018 | Journal article
DOI: https://doi.org/10.1016/j.neuroimage.2018.08.003
Source: Self-asserted source
Jose Dolz

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

IEEE Transactions on Medical Imaging
2018 | Journal article
DOI: 10.1109/TMI.2018.2878669
Source: Self-asserted source
Jose Dolz
grade
Preferred source (of 2)‎

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network

Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on
2018 | Conference paper
Source: Self-asserted source
Jose Dolz

Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

Medical Physics
2018 | Journal article
DOI: 10.1002/mp.13240
Source: Self-asserted source
Jose Dolz

DOPE: Distributed Optimization for Pairwise Energies

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 | Conference paper
Source: Self-asserted source
Jose Dolz

Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

Medical physics
2017 | Journal article
DOI: 10.1002/mp.12593
Source: Self-asserted source
Jose Dolz

Fully Automatic Danger Zone Determination for SBRT in NSCLC

Journal of Radiation Oncology Informatics
2017 | Journal article
DOI: 10.5166/jroi-7-1-26
Source: Self-asserted source
Jose Dolz

Unbiased shape compactness for segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention
2017 | Conference paper
DOI: https://doi.org/10.1007/978-3-319-66182-7_86
Source: Self-asserted source
Jose Dolz

Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients

Medical Physics
2016 | Journal article
DOI: 10.1118/1.4947484
Source: Self-asserted source
Jose Dolz

Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context

International Journal of Computer Assisted Radiology and Surgery
2016 | Journal article
DOI: 10.1007/s11548-015-1266-2
EID:

2-s2.0-84955668580
Contributors: Dolz, J.; Laprie, A.; Ken, S.; Leroy, H.-A.; Reyns, N.; Massoptier, L.; Vermandel, M.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy

Journal of Digital Imaging
2016 | Journal article
DOI: 10.1007/s10278-015-9839-8
EID:

2-s2.0-84961058792
Contributors: Ramkumar, A.; Dolz, J.; Kirisli, H.A.; Adebahr, S.; Schimek-Jasch, T.; Nestle, U.; Massoptier, L.; Varga, E.; Stappers, P.J.; Niessen, W.J. et al.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study

Computerized Medical Imaging and Graphics
2016-09 | Journal article
DOI: 10.1016/j.compmedimag.2016.03.003
Contributors: Jose Dolz; Nacim Betrouni; Mathilde Quidet; Dris Kharroubi; Henri A. Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel
Source: check_circle
Crossref

A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery

Proceedings - International Symposium on Biomedical Imaging
2015 | Conference paper
DOI: 10.1109/ISBI.2015.7164064
EID:

2-s2.0-84944320219
Contributors: Dolz, J.; Leroy, H.A.; Reyns, N.; Massoptier, L.; Vermandel, M.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery

Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
2015 | Conference paper
Source: Self-asserted source
Jose Dolz

Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: A survey

IRBM
2015-08 | Journal article
DOI: 10.1016/j.irbm.2015.06.001
Contributors: J. Dolz; L. Massoptier; M. Vermandel
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Combining watershed and graph cuts methods to segment organs at risk in radiotherapy

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2014 | Conference paper
DOI: 10.1117/12.2042768
EID:

2-s2.0-84902089810
Contributors: Dolz, J.; Kirisli, H.A.; Viard, R.; Massoptier, L.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

Interactive approach to segment organs at risk in radiotherapy treatment planning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2014 | Conference paper
DOI: 10.1117/12.2042766
EID:

2-s2.0-84902096297
Contributors: Dolz, J.; Kirisli, H.A.; Viard, R.; Massoptier, L.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

Industrial indoor environment characterization - Propagation models

Proceedings of EMC Europe 2011 York - 10th International Symposium on Electromagnetic Compatibility
2011 | Conference paper
EID:

2-s2.0-83155191203
Contributors: Ferrer Coll, J.; Dolz Martin De Ojeda, J.; Stenumgaard, P.; Marzal Romeu, S.; Chilo, J.
Source: Self-asserted source
Jose Dolz via Scopus - Elsevier

Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis

Journal of Magnetic Resonance Imaging
Journal article
DOI: 10.1002/jmri.26327
Source: Self-asserted source
Jose Dolz

Peer review (18 reviews for 2 publications/grants)

Review activity for International journal of computer vision. (2)
Review activity for Medical image analysis. (16)
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