José Dolz

Professeur

Département

Département de génie logiciel et TI

Formation

B.Sc., M.Sc. (Université polytechnique de Valence), Ph.D. (Université de Lille 2)

Bureau

A-3417

Courriel

Jose.Dolz@etsmtl.ca

Unité de recherche

Visiter le site web de : LIVIA – Laboratoire d'imagerie, de vision et d'intelligence artificielle

Axe de recherche

Technologies de la santé

Expertises

Segmentation d’images
Analyse d’images médicales
Apprentissage machine
Apprentissage profond
Apprentissage faiblement supervisé
Vision par ordinateur

Cours

3 crédits Hiver 2024

3 crédits Été 2024

Encadrements

Combinaison du "prompt-driven learning" et du "few-shot parameter-efficient fine-tuning" dans le cadre des modèles de fondation pour la segmentation médicale, par Arthur Leclercq
Automne 2023
Augmenter l’adaptabilité inter-domaines des modèles de segmentation d’images à l’aide de pseudo-labels optimisés par des seuils de binarisation individuels, par Jauffray Bruneton
Été 2020
Développement d’un assistant conversationnel multi-tâches pour faciliter la création de design et la collaboration, par Baptiste Viera
Été 2024

Augmentations de données acquises par ultra-sons dans le cadre d'entraînements de modèle de segmentation en contrôle non destructif, par Léa Billet
Été 2024

En codirection avec : Jose Dolz
Augmentation de données pour réseaux de neurones dans le domaine du contrôle non destructif sur des images acquises par ultrason, par Léa Billet
Été 2024
En codirection avec : Jose Dolz
Implémentation d'un système de diagnostic intelligent à partir de mesures du mouvement des yeux, par Tiphaine Diot
Été 2020
En codirection avec : Jose Dolz
Développement d’un moteur de recherche et d’un système de recommandation pour une plateforme e-commerce avec des techniques d’apprentissage machine, par Elias Thouant
Été 2022
En codirection avec : Jose Dolz
Passage à l’échelle de modèles d’apprentissage incrémental basés sur la mémoire humaine, par Julie Galliere
Été 2021
Analyse et reconstruction de l'état de la mer par apprentissage automatisé : application aux voiliers de compétition, par Ronan Gabriel
Hiver 2024
Logiciel de détection par intelligence artificielle dans le cadre de recherche de victimes en montagne, par Timothée Mathieu
Hiver 2024

En codirection avec : Jose Dolz
Test Time Adaptation and Train Time Generalization, par Balamurali Murugesan
Automne 2024
En codirection avec : Ismail Ben Ayed
Constrained Deep Networks for Medical Image Segmentation, par Hoel Kervadec
Hiver 2021
En codirection avec : Jose Dolz
Noenatal brain assessment from brain MRI, par Farzad Beizaee
Automne 2024
En codirection avec : Christian Desrosiers
Privacy Preservation in Medical Image Analysis, par Ngoc Bach Kim
Automne 2023
En codirection avec : Jose Dolz
Novel Continual Test-Time Adaptation Methods for Deep Models, par Shambhavi Mishra
Automne 2024
En codirection avec : Hervé Lombaert
Learning with Uncertainty in Medical Image Segmentation, par Sukesh Adiga Vasudeva
Été 2024
En codirection avec : Jose Dolz
Generalized Few-Shot Learning, par Seyed Mohammadsina Hajimiri
Automne 2024

En codirection avec : Jose Dolz
Segmentation d’images médicales semi-supervisée par curriculum via l’inférence des boîtes englobantes, par Bruce Cyusa Mukama
Automne 2021
En codirection avec : Jose Dolz
On Domain-Incremental Learning Methods and its Applications to Forgery Detection, par Julien Nicolas
Été 2023

Publications

Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2024 « Anatomically-aware uncertainty for semi-supervised image segmentation ». Medical Image Analysis vol. 91
Kazim Z. Gumus, Julien Nicolas, Dheeraj R. Gopireddy, Jose Dolz, Seyed Behzad Jazayeri, Mark Bandyk. 2024 « Deep learning algorithms for bladder cancer segmentation on multi-parametric MRI ». Cancers vol. 16 , nº 13
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed. 2024 « Do we really need dice? The hidden region-size biases of segmentation losses ». Medical Image Analysis vol. 91
Farzad Beizaee, Michele Bona, Christian Desrosiers, Jose Dolz, Gregory Lodygensky. 2023 « Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ». Scientific Reports vol. 13 , nº 1
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz. 2023 « Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ». Medical Image Analysis vol. 83
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz. 2023 « Calibrating segmentation networks with margin-based label smoothing ». Medical Image Analysis vol. 87
Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2022 « Attention-based dynamic subspace learners for medical image analysis ». IEEE Journal of Biomedical and Health Informatics vol. 26 , nº 9. p. 4599-4610
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2022 « Source-free domain adaptation for image segmentation ». Medical Image Analysis vol. 82
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022 « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging vol. 41 , nº 3. p. 702-714
A. Galdran, H. Chakor, W. Kabir, R. Kobbi, B. Liu, J. Dolz, I. Ben Ayed. 2022 « An automatic deep learning-based system for screening and management of DME ». Diabetes Research and Clinical Practice vol. 186 , nº Suppl. 1. p. 4-5
Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2022 « State-of-the-art retinal vessel segmentation with minimalistic models ». Scientific Reports vol. 12 , nº 1
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2022 « Incremental multi-target domain adaptation for object detection with efficient domain transfer ». Pattern Recognition vol. 129
Gaurav Patel, Jose Dolz. 2022 « Weakly supervised segmentation with cross-modality equivariant constraints ». Medical Image Analysis vol. 77
Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz. 2022 « Constrained unsupervised anomaly segmentation ». Medical Image Analysis vol. 80
Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz. 2021 « MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons ». Computers in Biology and Medicine vol. 134
M. Bateson, J. Dolz, H. Kervadec, H. Lombaert, I. Ben Ayed. 2021 « Constrained domain adaptation for image segmentation ». IEEE Transactions on Medical Imaging vol. 40 , nº 7. p. 1875-1887
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021 « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis vol. 67
Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2021 « Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ». IEEE Transactions on Medical Imaging vol. 40 , nº 7. p. 1737-1749
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2021 « Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ». Image and Vision Computing vol. 108
Julio Silva-Rodriguez, Adrián Colomer, Jose Dolz, Valery Naranjo. 2021 « Self-learning for weakly supervised gleason grading of local patterns ». IEEE Journal of Biomedical and Health Informatics vol. 25 , nº 8. p. 3094-3104
Ashish Sinha, José Dolz. 2021 « Multi-scale self-guided attention for medical image segmentation ». IEEE Journal of Biomedical and Health Informatics vol. 25 , nº 1. p. 121-130
Yang Ding, Ronaldo Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, Jose Dolz, Gregory A. Lodygensky. 2020 « Using deep convolutional neural networks for neonatal brain image segmentation ». Frontiers in Neuroscience vol. 14
Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed. 2020 « Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ». Computerized Medical Imaging and Graphics vol. 79
Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail Ben Ayed, Hadi Chakor. 2020 « Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ». Translational Vision Science and Technology vol. 9 , nº 2
Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020 « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks vol. 130. p. 297-308
Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed. 2019 « HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ». IEEE Transactions on Medical Imaging vol. 38 , nº 5. p. 1116-1126
Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2019 « Constrained-CNN losses for weakly supervised segmentation ». Medical Image Analysis vol. 54. p. 88-99
Li Wang, Dong Nie, Li Guannan, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. 2019 « Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ». IEEE Transactions on Medical Imaging vol. 38 , nº 9. p. 2219-2230
Xiaopan Xu, Xi Zhang, Qian Tian, Huanjun Wang, Long-Biao Cui, Shurong Li, Xing Tang, Baojun Li, Jose Dolz, Ismail Ben Ayed, Zhengrong Liang, Jing Yuan, Peng Du, Hongbing Lu, Yang Liu. 2019 « Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis ». Journal of Magnetic Resonance Imaging vol. 49 , nº 5. p. 1489-1498
Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Deana Crocetti, Bennett A. Landman, Stewart H. Mostofsky, Paul M. Thompson, Jerry L. Prince. 2018 « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage vol. 183. p. 150-172
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2018 « 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ». NeuroImage vol. 170. p. 456-470
Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018 « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics vol. 45 , nº 12. p. 5482-5493
Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2017 « Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ». Medical Physics vol. 44 , nº 12. p. 6341-6352
J. Dolz, H. A. Kirisli, T. Fechter, S. Karnitzki, O. Oehlke, U. Nestle, M. Vermandel, L. Massoptier. 2016 « Interactive contour delineation of organs at risk in radiotherapy: clinical evaluation on NSCLC patients ». Medical Physics vol. 43 , nº 5. p. 2569-2580
Jose Dolz, Nacim Betrouni, Mathilde Quidet, Dris Kharroubi, Henri A. Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel. 2016 « 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 vol. 52. p. 8-18

Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2019 « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) (Shenzen, China, Oct. 13-17, 2019)

Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz. 2024 « Prompting classes: Exploring the power of prompt class learning in weakly supervised semantic segmentation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024) Institute of Electrical and Electronics Engineers Inc.
Julien Nicolas, Florent Chiaroni, Imtiaz Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz. 2024 « MoP-CLIP: A mixture of prompt-tuned CLIP models for domain incremental learning ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024) Institute of Electrical and Electronics Engineers Inc.
Julio Silva-Rodriguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi. 2024 « Exploring the transferability of a foundation model for fundus images: Application to hypertensive retinopathy ». Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI : Proceedings (Shanghai, China, Aug. 28-Sept. 01, 2023) Springer Science and Business Media Deutschland GmbH
Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2023 « GeoLS: Geodesic label smoothing for image segmentation ». Proceedings of Machine Learning Research (Nashville, TN, USA, July 10-12, 2023) ML Research Press
Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz. 2023 « Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Springer
Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed. 2023 « Parametric information maximization for generalized category discovery ». IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023) Institute of Electrical and Electronics Engineers Inc.
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz. 2023 « A strong baseline for generalized few-shot semantic segmentation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE
Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2023 « Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) Springer
Agostina J. Larrazabal, César Martínez, José Dolz, Enzo Ferrante. 2023 « Maximum entropy on erroneous predictions: Improving model calibration for medical image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media Deutschland GmbH
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed. 2023 « Class adaptive network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2023 « Trust your neighbours: Penalty-based constraints for model calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media Deutschland GmbH
Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. 2023 « Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023 : Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media
Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2022 « Leveraging labeling representations in uncertainty-based semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference ; Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022) Springer Science and Business Media Deutschland GmbH
H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022 « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) European Signal Processing Conference, EUSIPCO
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz. 2022 « The devil is in the margin: Margin-based label smoothing for network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
Martin Van Waerebeke, Gregory Lodygensky, Jose Dolz. 2022 « On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ». Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 18, 2022) Springer Science and Business Media Deutschland GmbH
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2021 « On the texture bias for few-shot CNN segmentation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) Institute of Electrical and Electronics Engineers
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz. 2021 « Few-shot segmentation without meta-learning: A good transductive inference is all you need? ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021) IEEE
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2021 « Teach me to segment with mixed supervision: Confident students become masters ». 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-30, 2021) Springer
Gabriel Garcia, Adrian Colomer, Rafael Verdu-Monedero, Jose Dolz, Valery Naranjo. 2021 « A self-training framework for glaucoma grading in OCT B-scans ». 29th European Signal Processing Conference (EUSIPCO) (Dublin, Ireland, Aug. 23-27, 2021) IEEE
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed. 2021 « Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ». Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021) PMLR
Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin. 2021 « Privacy preserving for medical image analysis via non-linear deformation proxy ». 32nd British Machine Vision Conference, BMVC (Online, Nov. 22-25, 2021) British Machine Vision Association, BMVA
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante. 2021 « Orthogonal ensemble networks for biomedical image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III (Strasbourg, France, Sept. 27-Oct. 01, 2021) Springer Science and Business Media
L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger. 2021 « Unsupervised multi-target domain adaptation through knowledge distillation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) IEEE Computer Society
Mathilde Bateson, Hoel Kervadec, José Dolz, Hervé Lombaert, Ismail Ben Ayed. 2020 « Source-relaxed domain adaptation for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020) Springer Science and Business Media Deutschland GmbH
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed. 2020 « Transductive information maximization for few-shot learning ». Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)
Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2020 « Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020) Springer International Publishing
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 2020 « Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) PLMR
Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin. 2020 « Joint progressive knowledge distillation and unsupervised domain adaptation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) IEEE
Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida. 2020 « On direct distribution matching for adapting segmentation networks ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) PLMR
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. 2020 « Laplacian regularized few-shot learning ». 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2019 « Constrained domain adaptation for segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019) Springer
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2019 « Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ». Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16-20, 2018) Springer
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2019 « IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ». Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018) Springer Verlag
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019 « Boundary loss for highly unbalanced segmentation ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019) PMLR
Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed. 2019 « Curriculum semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019) Springer
Jose Dolz, Ismail Ben Ayed, Yuan Jing, Christian Desrosiers. 2018 « Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ». IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018) IEEE
Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli. 2018 « An attention model for group-level emotion recognition ». 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018) ACM
Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2018 « Constrained-CNN losses for weakly supervised segmentation ». 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017 « DOPE: distributed optimization for pairwise energies ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017) IEEE Computer Society
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017 « Unbiased shape compactness for segmentation ». Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017) Springer Verlag
J. Dolz, H. A. Leroy, N. Reyns, L. Massoptier, M. Vermandel. 2015 « A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery ». 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) (New York, NY, USA, April 16-19, 2015) IEEE