| 2026 | WACV | SGPMIL: Sparse Gaussian Process Multiple Instance Learning. | Andreas Lolos, Stergios Christodoulidis, Aris L. Moustakas, Jose Dolz, Maria Vakalopoulou |
| 2026 | WACV | Nerve: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation. | Kunal Mahatha, Jose Dolz, Christian Desrosiers |
| 2025 | CVPR | Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection. | Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz |
| 2025 | CVPR | Conformal Prediction for Zero-Shot Models. | Julio Silva-Rodrguez, Ismail Ben Ayed, Jose Dolz |
| 2025 | ICCV | ViLU: Learning Vision-Language Uncertainties for Failure Prediction. | Marc Lafon, Yannis Karmim, Julio Silva-Rodrguez, Paul Couairon, Clment Rambour, Raphal Fournier-S'niehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome |
| 2025 | MICCAI | Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. | Ghassen Baklouti, Julio Silva-Rodrguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed |
| 2025 | MICCAI | Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport. | Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz |
| 2025 | MICCAI | Test-Time Adaptation of Medical Vision-Language Models. | Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodrguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed |
| 2025 | MICCAI | Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction. | Julio Silva-Rodrguez, Ismail Ben Ayed, Jose Dolz |
| 2025 | MICCAI | Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation. | Julio Silva-Rodrguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed |
| 2025 | WACV | ReC- Ttt: Contrastive Feature Reconstruction for Test-Time Training. | Marco Colussi, Sergio Mascetti, Jose Dolz, Christian Desrosiers |
| 2025 | WACV | Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. | Sina Hajimiri, Ismail Ben Ayed, Jose Dolz |
| 2024 | CVPR | LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. | Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed |
| 2024 | CVPR | A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. | Julio Silva-Rodrguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz |
| 2024 | ECCV | Robust Calibration of Large Vision-Language Adapters. | Balamurali Murugesan, Julio Silva-Rodrguez, Ismail Ben Ayed, Jose Dolz |
| 2024 | MICCAI | Class and Region-Adaptive Constraints for Network Calibration. | Balamurali Murugesan, Julio Silva-Rodrguez, Ismail Ben Ayed, Jose Dolz |
| 2024 | MICCAI | Few-Shot Adaptation of Medical Vision-Language Models. | Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodrguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed |
| 2024 | WACV | Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. | Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz |
| 2024 | WACV | MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. | Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz |
| 2023 | CGI | Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. | Julio Silva-Rodrguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi |
| 2023 | CVPR | A Strong Baseline for Generalized Few-Shot Semantic Segmentation. | Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz |
| 2023 | CVPR | Class Adaptive Network Calibration. | Bingyuan Liu, Jrme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed |
| 2023 | ICCV | Parametric Information Maximization for Generalized Category Discovery. | Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed |
| 2023 | MICCAI | Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. | Agostina J. Larrazabal, Csar Martnez, Jose Dolz, Enzo Ferrante |
| 2023 | MICCAI | Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. | Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz |
| 2023 | MICCAI | Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. | Julio Silva-Rodrguez, Jose Dolz, Ismail Ben Ayed |
| 2022 | CVPR | The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. | Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz |
| 2022 | MICCAI | Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. | Sukesh Adiga V, Jose Dolz, Herve Lombaert |
| 2022 | MICCAI | On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. | Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz |
| 2021 | BMVC | Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. | Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin |
| 2021 | BMVC | Looking at the whole picture: constrained unsupervised anomaly segmentation. | Julio Silva-Rodrguez, Valery Naranjo, Jose Dolz |
| 2021 | CVPR | Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz |
| 2021 | MICCAI | Orthogonal Ensemble Networks for Biomedical Image Segmentation. | Agostina J. Larrazabal, Csar Ernesto Martnez, Jose Dolz, Enzo Ferrante |
| 2021 | WACV | On the Texture Bias for Few-Shot CNN Segmentation. | Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz |
| 2021 | WACV | Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. | Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger |
| 2020 | ICML | Laplacian Regularized Few-Shot Learning. | Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed |
| 2020 | IJCNN | Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. | Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin |
| 2020 | MICCAI | Source-Relaxed Domain Adaptation for Image Segmentation. | Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herv Lombaert, Ismail Ben Ayed |
| 2020 | MICCAI | Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. | Adrian Galdran, Jose Dolz, Hadi Chakor, Herv Lombaert, Ismail Ben Ayed |
| 2019 | MICCAI | Constrained Domain Adaptation for Segmentation. | Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herv Lombaert, Ismail Ben Ayed |
| 2019 | MICCAI | Curriculum Semi-supervised Segmentation. | Hoel Kervadec, Jose Dolz, ric Granger, Ismail Ben Ayed |
| 2018 | ICMI | An Attention Model for Group-Level Emotion Recognition. | Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli |
| 2018 | MICCAI | Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. | Jose Dolz, Ismail Ben Ayed, Christian Desrosiers |
| 2018 | MICCAI | IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. | Jose Dolz, Christian Desrosiers, Ismail Ben Ayed |
| 2017 | CVPR | DOPE: Distributed Optimization for Pairwise Energies. | Jose Dolz, Ismail Ben Ayed, Christian Desrosiers |
| 2017 | MICCAI | Unbiased Shape Compactness for Segmentation. | Jose Dolz, Ismail Ben Ayed, Christian Desrosiers |