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2020 – today
- 2025
[j30]Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz
, Ismail Ben Ayed:
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. Medical Image Anal. 99: 103357 (2025)- [j29]Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz:
Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. Medical Image Anal. 101: 103483 (2025) - [j28]Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz:
Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Anal. 101: 103501 (2025) - [i88]Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz:
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. CoRR abs/2502.16943 (2025) - 2024
- [j27]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Anal. 91: 103011 (2024) - [j26]Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. 91: 103015 (2024) - [c49]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CVPR 2024: 23681-23690 - [c48]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR 2024: 23773-23782 - [c47]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. ECCV (24) 2024: 147-165 - [c46]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) 2024: 57-67 - [c45]Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed:
Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) 2024: 553-563 - [c44]Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. WACV 2024: 290-301 - [c43]Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV 2024: 1751-1761 - [i87]Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR abs/2401.14487 (2024) - [i86]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR abs/2401.15526 (2024) - [i85]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i84]Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR abs/2403.15567 (2024) - [i83]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR abs/2404.02285 (2024) - [i82]Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR abs/2404.08181 (2024) - [i81]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (2024) - [i80]Farzad Beizaee, Gregory A. Lodygensky, Christopher L. Adamson, Deanne K. Thompson, Jeanie L. Y. Cheong, Alicia J. Spittle, Peter J. Anderson, Christian Desrosiers, Jose Dolz:
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. CoRR abs/2407.15717 (2024) - [i79]Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed:
Few-shot Adaptation of Medical Vision-Language Models. CoRR abs/2409.03868 (2024) - [i78]Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. CoRR abs/2411.17002 (2024) - [i77]Marco Colussi, Sergio Mascetti, Jose Dolz, Christian Desrosiers:
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training. CoRR abs/2411.17869 (2024) - [i76]Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz:
Are foundation models for computer vision good conformal predictors? CoRR abs/2412.06082 (2024) - [i75]Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz:
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation. CoRR abs/2412.09718 (2024) - 2023
- [j25]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83: 102670 (2023) - [j24]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87: 102826 (2023) - [c42]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) 2023: 427-437 - [c41]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR 2023: 11269-11278 - [c40]Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CVPR 2023: 16070-16079 - [c39]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Parametric Information Maximization for Generalized Category Discovery. ICCV 2023: 1729-1739 - [c38]Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. IPMI 2023: 347-359 - [c37]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI 2023: 717-729 - [c36]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 213-224 - [c35]Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante:
Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. MICCAI (3) 2023: 273-283 - [c34]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) 2023: 572-581 - [c33]Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert:
GeoLS: Geodesic Label Smoothing for Image Segmentation. MIDL 2023: 468-478 - [i74]Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows. CoRR abs/2301.11551 (2023) - [i73]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust your neighbours: Penalty-based constraints for model calibration. CoRR abs/2303.06268 (2023) - [i72]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Transductive few-shot adapters for medical image segmentation. CoRR abs/2303.17051 (2023) - [i71]Bach Ngoc Kim, José Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation. CoRR abs/2305.13756 (2023) - [i70]Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR abs/2307.00097 (2023) - [i69]Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR abs/2307.05707 (2023) - [i68]Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed:
A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR abs/2308.07898 (2023) - [i67]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation. CoRR abs/2310.16099 (2023) - [i66]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR abs/2312.12730 (2023) - 2022
- [j23]Gaurav Patel, Jose Dolz:
Weakly supervised segmentation with cross-modality equivariant constraints. Medical Image Anal. 77: 102374 (2022) - [j22]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Constrained unsupervised anomaly segmentation. Medical Image Anal. 80: 102526 (2022) - [j21]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-free domain adaptation for image segmentation. Medical Image Anal. 82: 102617 (2022) - [j20]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental multi-target domain adaptation for object detection with efficient domain transfer. Pattern Recognit. 129: 108771 (2022) - [j19]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Attention-Based Dynamic Subspace Learners for Medical Image Analysis. IEEE J. Biomed. Health Informatics 26(9): 4599-4610 (2022) - [j18]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging 41(3): 702-714 (2022) - [c32]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR 2022: 80-88 - [c31]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - [c30]Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz:
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. UNSURE@MICCAI 2022: 36-46 - [c29]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. MICCAI (8) 2022: 265-275 - [i65]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Constrained unsupervised anomaly segmentation. CoRR abs/2203.01671 (2022) - [i64]Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz:
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation. CoRR abs/2203.03587 (2022) - [i63]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation. CoRR abs/2203.05682 (2022) - [i62]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR abs/2205.05841 (2022) - [i61]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Attention-based Dynamic Subspace Learners for Medical Image Analysis. CoRR abs/2206.09068 (2022) - [i60]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR abs/2209.09641 (2022) - [i59]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR abs/2211.14126 (2022) - [i58]Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CoRR abs/2211.15088 (2022) - [i57]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. CoRR abs/2212.00334 (2022) - 2021
- [j17]Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz:
MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons. Comput. Biol. Medicine 134: 104472 (2021) - [j16]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains. Image Vis. Comput. 108: 104096 (2021) - [j15]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [j14]Ashish Sinha, Jose Dolz:
Multi-Scale Self-Guided Attention for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 25(1): 121-130 (2021) - [j13]Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo:
Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE J. Biomed. Health Informatics 25(8): 3094-3104 (2021) - [j12]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. IEEE Trans. Medical Imaging 40(7): 1737-1749 (2021) - [j11]Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1875-1887 (2021) - [c28]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. BMVC 2021: 375 - [c27]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. BMVC 2021: 400 - [c26]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [c25]Gabriel García, Adrián Colomer, Rafael Verdú Monedero, Jose Dolz, Valery Naranjo:
A Self-Training Framework for Glaucoma Grading In OCT B-Scans. EUSIPCO 2021: 1281-1285 - [c24]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI 2021: 517-529 - [c23]Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante:
Orthogonal Ensemble Networks for Biomedical Image Segmentation. MICCAI (3) 2021: 594-603 - [c22]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021: 354-368 - [c21]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. WACV 2021: 1338-1346 - [c20]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. WACV 2021: 2673-2682 - [i56]Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz:
Bladder segmentation based on deep learning approaches: current limitations and lessons. CoRR abs/2101.06498 (2021) - [i55]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains. CoRR abs/2101.07308 (2021) - [i54]Gaurav Patel, Jose Dolz:
Weakly supervised segmentation with cross-modality equivariant constraints. CoRR abs/2104.02488 (2021) - [i53]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR abs/2104.06476 (2021) - [i52]Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
The hidden label-marginal biases of segmentation losses. CoRR abs/2104.08717 (2021) - [i51]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! CoRR abs/2105.00859 (2021) - [i50]Julio Silva-Rodríguez, Adrián Colomer, José Dolz, Valery Naranjo:
Self-learning for weakly supervised Gleason grading of local patterns. CoRR abs/2105.10420 (2021) - [i49]Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante:
Orthogonal Ensemble Networks for Biomedical Image Segmentation. CoRR abs/2105.10827 (2021) - [i48]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i47]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
Mutual-Information Based Few-Shot Classification. CoRR abs/2106.12252 (2021) - [i46]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Source-Free Domain Adaptation for Image Segmentation. CoRR abs/2108.03152 (2021) - [i45]Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. CoRR abs/2109.00482 (2021) - [i44]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR abs/2109.10902 (2021) - [i43]Gabriel García, Adrián Colomer, Rafael Verdú Monedero, José Dolz, Valery Naranjo:
A self-training framework for glaucoma grading in OCT B-scans. CoRR abs/2111.11771 (2021) - [i42]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR abs/2111.15430 (2021) - [i41]Agostina J. Larrazabal, César Ernesto Martínez, José Dolz, Enzo Ferrante:
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation. CoRR abs/2112.12218 (2021) - 2020
- [j10]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [j9]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130: 297-308 (2020) - [c19]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. ICML 2020: 11660-11670 - [c18]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. IJCNN 2020: 1-8 - [c17]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) 2020: 490-499 - [c16]Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) 2020: 665-674 - [c15]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - [c14]Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. MIDL 2020: 624-637 - [c13]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed:
Information Maximization for Few-Shot Learning. NeurIPS 2020 - [i40]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. CoRR abs/2003.04052 (2020) - [i39]Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz:
Semi-supervised few-shot learning for medical image segmentation. CoRR abs/2003.08462 (2020) - [i38]Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Manifold-driven Attention Maps for Weakly Supervised Segmentation. CoRR abs/2004.03046 (2020) - [i37]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR abs/2004.06816 (2020) - [i36]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. CoRR abs/2005.03697 (2020) - [i35]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. CoRR abs/2005.07839 (2020) - [i34]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. CoRR abs/2006.15486 (2020) - [i33]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. CoRR abs/2007.07077 (2020) - [i32]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. CoRR abs/2008.11297 (2020) - [i31]Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. CoRR abs/2009.01907 (2020) - [i30]Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR abs/2010.00291 (2020) - [i29]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR abs/2011.07221 (2020) - [i28]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. CoRR abs/2011.12835 (2020) - [i27]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020) - [i26]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach me to segment with mixed supervision: Confident students become masters. CoRR abs/2012.08051 (2020)
2010 – 2019
- 2019
- [j8]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j7]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging 38(5): 1116-1126 (2019) - [j6]Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei 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:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [c12]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Segmentation. MICCAI (2) 2019: 326-334 - [c11]Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed:
Curriculum Semi-supervised Segmentation. MICCAI (2) 2019: 568-576 - [c10]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. MIDL 2019: 285-296 - [i25]Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. CoRR abs/1904.02657 (2019) - [i24]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i23]Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Curriculum semi-supervised segmentation. CoRR abs/1904.05236 (2019) - [i22]Ashish Sinha, Jose Dolz:
Multi-scale guided attention for medical image segmentation. CoRR abs/1906.02849 (2019) - [i21]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR abs/1907.12934 (2019) - [i20]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. CoRR abs/1908.02996 (2019) - [i19]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. CoRR abs/1908.05770 (2019) - [i18]Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers:
Revisiting CycleGAN for semi-supervised segmentation. CoRR abs/1908.11569 (2019) - [i17]Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR abs/1909.03354 (2019) - [i16]Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin:
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. CoRR abs/1909.04087 (2019) - 2018
- [j5]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. NeuroImage 170: 456-470 (2018) - [j4]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, Jerry L. Prince:
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018) - [c9]Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli:
An Attention Model for Group-Level Emotion Recognition. ICMI 2018: 611-615 - [c8]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. ISBI 2018: 616-620 - [c7]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. CSI@MICCAI 2018: 130-143 - [c6]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. BrainLes@MICCAI (1) 2018: 271-282 - [i15]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR abs/1804.02967 (2018) - [i14]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i13]Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu:
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR abs/1805.10720 (2018) - [i12]Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli:
An Attention Model for group-level emotion recognition. CoRR abs/1807.03380 (2018) - [i11]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. CoRR abs/1810.07003 (2018) - [i10]Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers:
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. CoRR abs/1810.12241 (2018) - [i9]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet. CoRR abs/1811.08305 (2018) - [i8]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. CoRR abs/1812.07032 (2018) - 2017
- [c5]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
DOPE: Distributed Optimization for Pairwise Energies. CVPR 2017: 4095-4104 - [c4]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Unbiased Shape Compactness for Segmentation. MICCAI (1) 2017: 755-763 - [i7]Jose Dolz, Nicolas Reyns, Nacim Betrouni, Dris Kharroubi, Mathilde Quidet, Laurent Massoptier, Maximilien Vermandel:
A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients. CoRR abs/1703.10480 (2017) - [i6]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
DOPE: Distributed Optimization for Pairwise Energies. CoRR abs/1704.03116 (2017) - [i5]Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz:
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. CoRR abs/1704.06544 (2017) - [i4]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Unbiased Shape Compactness for Segmentation. CoRR abs/1704.08908 (2017) - [i3]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. CoRR abs/1710.05956 (2017) - [i2]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR abs/1712.05319 (2017) - 2016
- [j3]Jose Dolz, Anne Laprie, Soléakhéna Ken, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel:
Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context. Int. J. Comput. Assist. Radiol. Surg. 11(1): 43-51 (2016) - [j2]Jose Dolz, Nacim Betrouni, Mathilde Quidet, Dris Kharroubi, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel:
Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study. Comput. Medical Imaging Graph. 52: 8-18 (2016) - [j1]Anjana Ramkumar, Jose Dolz, Hortense A. Kirisli, Sonja Adebahr, Tanja Schimek-Jasch, Ursula Nestle, Laurent Massoptier, Edit Varga, Pieter Jan Stappers, Wiro J. Niessen, Yu Song:
User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy. J. Digit. Imaging 29(2): 264-277 (2016) - [i1]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. CoRR abs/1612.03925 (2016) - 2015
- [c3]Jose Dolz, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel:
A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery. ISBI 2015: 1102-1105 - 2014
- [c2]Jose Dolz, Hortense A. Kirisli, Romain Viard, Laurent Massoptier:
Interactive approach to segment organs at risk in radiotherapy treatment planning. Image Processing 2014: 90343S - [c1]Jose Dolz, Hortense A. Kirisli, Romain Viard, Laurent Massoptier:
Combining watershed and graph cuts methods to segment organs at risk in radiotherapy. Image Processing 2014: 90343Z
Coauthor Index
[j30] [j28] [j26] [c49] [c48] [c47] [c46] [c45] [c44] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i79] [i78] [i76] [j25] [j24] [c42] [c41] [c40] [c39] [c36] [c34] [i73] [i72] [i70] [i68] [i66] [j21] [j18] [c32] [c31] [i62] [i60] [i59] [i58] [i57] [j15] [j11] [c26] [c24] [c22] [c20] [i52] [i51] [i48] [i47] [i46] [i44] [i42] [j10] [j9] [c19] [c17] [c16] [c15] [c14] [c13] [i40] [i39] [i37] [i36] [i34] [i32] [i31] [i30] [i29] [i27] [i26] [j8] [j7] [j6] [c12] [c11] [c10] [i25] [i24] [i23] [i21] [i20] [i19] [i17] [j5] [j4] [c8] [c7] [c6] [i15] [i14] [i13] [i11] [i9] [i8] [c5] [c4] [i6] [i5] [i4] [i3] [i2] [i1]
Eric Granger
aka: Éric Granger
aka: Éric Granger
Hervé Lombaert
aka: Herve Lombaert
aka: Herve Lombaert
Sukesh Adiga V
aka: Sukesh Adiga Vasudeva
aka: Sukesh Adiga Vasudeva
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