08 mars 2024
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
Unité de recherche
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
Encadrements
- En codirection avec : Jose Dolz
Test Time Adaptation and Train Time Generalization, par Balamurali Murugesan
Été 2025 - 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
Été 2025 - En codirection avec : Jose Dolz
Méthodes d’apprentissage faiblement supervisées pour l'exploitation d'images faiblement annotées et de textes cliniques, par Damien Djomby
Été 2025 - 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
Été 2025 - 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
Été 2025
- En codirection avec : Christian Desrosiers
Deep Learning Methods for Open-Vocabulary Segmentation, par Kunal Mahatha
Été 2025 - En codirection avec : Éric Granger
Text-Guided Source-Free Domain Adaptation for Re-Identification Systems, par Rajarshi Bhattacharya
Été 2025 - 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
- 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
- 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
- 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
Publications
- Farzad Beizaee, Gregory A. Lodygensky, Chris L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz. 2025 « Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization ». Medical Image Analysis vol. 101
- Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2025 « Neighbor-aware calibration of segmentation networks with penalty-based constraints ». Medical Image Analysis vol. 101
- Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed. 2025 « A Foundation Language-Image Model of the Retina (FLAIR): Encoding expert knowledge in text supervision ». Medical Image Analysis vol. 99
- Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2024 « Anatomically-aware uncertainty for semi-supervised image segmentation ». Medical Image Analysis vol. 91
- H. Chakor Dj, W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, J. Dolz, I. Ben Ayed. 2024 « An AI-assisted system for classification and triage of diabetic retinopathy (DR) by using real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- H. Chakor Dj, W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, J. Dolz, I. Ben Ayed. 2024 « Hybrid classification of hypertensive retinopathy (HR) in general population based on artificial intelligence ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- Hadi Chakor, Waziha Kabir, Riadh Kobbi, Jihed Chelbi, Marc-André Racine, Julio Silva-Rodríguez, Balamurali Murugesan, Jose Dolz, Ismail Ben Ayed. 2024 « AI-assisted automated screening of retinal anomalies in OCT Images: A deep learning approach ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- 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
- W. Kabir, H. Chakor, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, I. Ben Ayed, J. Dolz. 2024 « An AI-assisted system for screening of diabetic macular edema (DME) by using real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, H. Chakor Dj, I. B. Ayed, J. Dolz, J. St-Jacques, L. Madteossian, D. Schwirtz. 2024 « An AI-assisted system for early screening of age-related macular degeneration (ARMD) from real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- 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
- Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2024 « Do not trust what you trust: Miscalibration in semi-supervised learning ». Transactions on Machine Learning Research vol. 2024
- Balamurali Murugesan, Julio Silva-Rodriguez, Hadi Chakor, Riadh Kobbi, Waziha Kabir, Jihed Chelbi, Marc-Andre Racine, Jose Dolz, Ismail Ben Ayed. 2024 « Domain generalization for diabetic retinopathy grading through vision-language foundation models ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- Julio Silva-Rodriguez, Hadi Chakor, Riadh Kobbi, Balamurali Murugesan, Waziha Kabir, Jihed Chelbi, Marc-Andre Racine, Jose Dolz, Ismail Ben Ayed. 2024 « All that glitters is not gold: are current retina foundation models able to efficiently detect hypertensive retinopathy? ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- 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, Julio Silva-Rodríguez, Ismail ben Ayed, Jose Dolz. 2025 « Robust calibration of large vision-language adapters ». Computer Vision – ECCV 2024 : 18th European Conference, 2024, Proceedings, Part XXI (Milan, Italy, Sept. 29-Oct. 04, 2024) Springer
- Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed. 2024 « LP plus plus : A surprisingly strong linear probe for few-shot CLIP ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electonics Engineers Inc.
- 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.
- Balamurali Murugesan, Julio Silva-Rodriguez, Ismail Ben Ayed, Jose Dolz. 2024 « Class and region-adaptive constraints for network calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part VIII (Marrakesh, Morocco, Oct. 06-10, 2024) Springer
- 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.
- Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, José Dolz, Ismail Ben Ayed. 2024 « Few-shot adaptation of medical vision-language models ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part XII (Marrakesh, Morocco, Oct. 06-10, 2024) Springer
- 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
- Julio Silva-Rodriguez, Sina Hajimiri, Ismail Ben Ayed, José Dolz. 2024 « A closer look at the few-shot adaptation of large vision-language models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electonics Engineers Inc.
- Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2023 « GeoLS: Geodesic label smoothing for image segmentation ». International Confefence on Medical Imaging with Deep Learning (MIDL) (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, Part III (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, Part III (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
- Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz. 2021 « Looking at the whole picture: Constrained unsupervised anomaly segmentation ». 32nd British Machine Vision Conference, BMVC 2021 (Virtual, Nov. 22-25, 2021) British Machine Vision Association, BMVA
- 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, 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, 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, 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 Conjunction 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 ». 2nd International Conference on Medical Imaging with Deep Learning (MIDL) (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
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