Jose Dolz - RankMe

196 papers A* 12A 8B 4Journal 135Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are foundation models for computer vision good conformal predictors? Trans. Mach. Learn. Res. Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation. Int. J. Comput. Vis. Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2026	J	`jnl`	Class Adaptive Conformal Training. CoRR Badr-Eddine Marani, Julio Silva-Rodríguez, Ismail Ben Ayed, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	Information Maximization for Long-Tailed Semi-Supervised Domain Generalization. CoRR Leo Fillioux, Omprakash Chakraborty, Quentin Gopée, Pierre Marza, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	Locality-Attending Vision Transformer. CoRR Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection. CoRR Kunal Mahatha, Ali Bahri, Pierre Marza, Sahar Dastani, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz, Christian Desrosiers
2026	J	`jnl`	ORION: ORthonormal Text Encoding for Universal VLM AdaptatION. CoRR Omprakash Chakraborty, Jose Dolz, Ismail Ben Ayed
2026	J	`jnl`	SPARK: Stochastic Propagation via Affinity-guided Random walK for training-free unsupervised segmentation. CoRR Kunal Mahatha, Jose Dolz, Christian Desrosiers
2026	J	`jnl`	SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning. CoRR Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz
2025	J	`jnl`	A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. Medical Image Anal. Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
2025	—	`conf`	A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? IPMI (2) Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? CoRR Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems. CoRR Shambhavi Mishra, Gaurav Sahu, Marco Pedersoli, Laurent Charlin, Jose Dolz, Christopher Pal
2025	A*	`conf`	Conformal Prediction for Zero-Shot Models. CVPR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Conformal Prediction for Zero-Shot Models. CoRR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	A*	`conf`	Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection. CVPR Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	J	`jnl`	Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection. CoRR Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	J	`jnl`	DART CoRR Rajarshi Bhattacharya, Shakeeb Murtaza, Christian Desrosiers, Jose Dolz, Maguelonne Heritier, Eric Granger
2025	—	`conf`	Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation. MICCAI (7) Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation. CoRR Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	—	`conf`	Full Conformal Adaptation of Medical Vision-Language Models. IPMI (2) Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Full Conformal Adaptation of Medical Vision-Language Models. CoRR Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. Medical Image Anal. 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
2025	—	`conf`	MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. IPMI (2) Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	J	`jnl`	MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. CoRR Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	J	`jnl`	NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation. CoRR Kunal Mahatha, Jose Dolz, Christian Desrosiers
2025	J	`jnl`	Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Anal. Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2025	A	`conf`	Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. WACV Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2025	A	`conf`	ReC- Ttt: Contrastive Feature Reconstruction for Test-Time Training. WACV Marco Colussi, Sergio Mascetti, Jose Dolz, Christian Desrosiers
2025	—	`conf`	Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport. MICCAI (4) Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	—	`conf`	Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. MICCAI (7) Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed
2025	J	`jnl`	Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. CoRR Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed
2025	J	`jnl`	SGPMIL: Sparse Gaussian Process Multiple Instance Learning. CoRR Andreas Lolos, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz, Aris L. Moustakas
2025	J	`jnl`	THUNDER: Tile-level Histopathology image UNDERstanding benchmark. CoRR Pierre Marza, Leo Fillioux, Sofiène Boutaj, Kunal Mahatha, Christian Desrosiers, Pablo Piantanida, Jose Dolz, Stergios Christodoulidis, Maria Vakalopoulou
2025	—	`conf`	Test-Time Adaptation of Medical Vision-Language Models. MedAGI Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodríguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. Medical Image Anal. Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation. CoRR Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2025	J	`jnl`	Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation. Comput. Biol. Medicine Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2025	—	`conf`	Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction. MICCAI (7) Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction. CoRR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	ViLU: Learning Vision-Language Uncertainties for Failure Prediction. CoRR Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-S'niehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome
2024	A*	`conf`	A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CVPR Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Anal. Sukesh Adiga V, Jose Dolz, Herve Lombaert
2024	J	`jnl`	Are foundation models for computer vision good conformal predictors? CoRR Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2024	J	`jnl`	BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation. CoRR Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2024	—	`conf`	Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Class and Region-Adaptive Constraints for Network Calibration. CoRR Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semisupervised Learning. Trans. Mach. Learn. Res. Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	J	`jnl`	Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2024	J	`jnl`	Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
2024	—	`conf`	Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	J	`jnl`	Few-shot Adaptation of Medical Vision-Language Models. CoRR Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	J	`jnl`	Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. CoRR 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
2024	A*	`conf`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	A	`conf`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2024	J	`jnl`	Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2024	A	`conf`	Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. WACV Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training. CoRR Marco Colussi, Sergio Mascetti, Jose Dolz, Christian Desrosiers
2024	—	`conf`	Robust Calibration of Large Vision-Language Adapters. ECCV (24) Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Robust Calibration of Large Vision-Language Adapters. CoRR Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. CoRR Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2023	J	`jnl`	A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
2023	A*	`conf`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Anatomically-aware Uncertainty for Semi-supervised Image Segmentation. CoRR Sukesh Adiga V, Jose Dolz, Herve Lombaert
2023	J	`jnl`	Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2023	A*	`conf`	Class Adaptive Network Calibration. CVPR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2023	—	`conf`	Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
2023	—	`conf`	GeoLS: Geodesic Label Smoothing for Image Segmentation. MIDL Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert
2023	—	`conf`	Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. IPMI Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz
2023	J	`jnl`	Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows. CoRR Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz
2023	—	`conf`	Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. MICCAI (3) Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante
2023	—	`conf`	Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers
2023	J	`jnl`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2023	A*	`conf`	Parametric Information Maximization for Generalized Category Discovery. ICCV Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
2023	J	`jnl`	Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2023	—	`conf`	Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2023	J	`jnl`	Transductive few-shot adapters for medical image segmentation. CoRR Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2023	—	`conf`	Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Trust your neighbours: Penalty-based constraints for model calibration. CoRR Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	Attention-Based Dynamic Subspace Learners for Medical Image Analysis. IEEE J. Biomed. Health Informatics Sukesh Adiga V, Jose Dolz, Herve Lombaert
2022	J	`jnl`	Attention-based Dynamic Subspace Learners for Medical Image Analysis. CoRR Sukesh Adiga V, Jose Dolz, Herve Lombaert
2022	J	`jnl`	Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	Class Adaptive Network Calibration. CoRR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2022	—	`conf`	Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2022	J	`jnl`	Constrained unsupervised anomaly segmentation. CoRR Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz
2022	J	`jnl`	Constrained unsupervised anomaly segmentation. Medical Image Anal. Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz
2022	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Incremental multi-target domain adaptation for object detection with efficient domain transfer. Pattern Recognit. Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2022	—	`conf`	Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. MICCAI (8) Sukesh Adiga V, Jose Dolz, Herve Lombaert
2022	J	`jnl`	Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation. CoRR Sukesh Adiga V, Jose Dolz, Herve Lombaert
2022	J	`jnl`	Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Mutual Information-based Generalized Category Discovery. CoRR Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
2022	—	`conf`	On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. UNSURE@MICCAI Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz
2022	J	`jnl`	On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation. CoRR Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz
2022	J	`jnl`	Source-free domain adaptation for image segmentation. Medical Image Anal. Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2022	A*	`conf`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2022	J	`jnl`	Weakly supervised segmentation with cross-modality equivariant constraints. Medical Image Anal. Gaurav Patel, Jose Dolz
2021	—	`conf`	A Self-Training Framework for Glaucoma Grading In OCT B-Scans. EUSIPCO Gabriel García, Adrián Colomer, Rafael Verdú Monedero, Jose Dolz, Valery Naranjo
2021	—	`conf`	Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed
2021	J	`jnl`	Bladder segmentation based on deep learning approaches: current limitations and lessons. CoRR Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz
2021	J	`jnl`	Boundary loss for highly unbalanced segmentation. Medical Image Anal. Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2021	A*	`conf`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2021	J	`jnl`	Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021	J	`jnl`	Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains. CoRR Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021	J	`jnl`	Knowledge distillation methods for efficient unsupervised adaptation across multiple domains. Image Vis. Comput. Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021	A	`conf`	Looking at the whole picture: constrained unsupervised anomaly segmentation. BMVC Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz
2021	J	`jnl`	Looking at the whole picture: constrained unsupervised anomaly segmentation. CoRR Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz
2021	J	`jnl`	MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons. Comput. Biol. Medicine Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz
2021	J	`jnl`	Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2021	J	`jnl`	Multi-Scale Self-Guided Attention for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Ashish Sinha, Jose Dolz
2021	J	`jnl`	Mutual-Information Based Few-Shot Classification. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2021	A	`conf`	On the Texture Bias for Few-Shot CNN Segmentation. WACV Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2021	—	`conf`	Orthogonal Ensemble Networks for Biomedical Image Segmentation. MICCAI (3) Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante
2021	J	`jnl`	Orthogonal Ensemble Networks for Biomedical Image Segmentation. CoRR Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante
2021	A	`conf`	Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. BMVC Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin
2021	J	`jnl`	Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. IEEE Trans. Medical Imaging Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers
2021	J	`jnl`	Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. IEEE J. Biomed. Health Informatics Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo
2021	J	`jnl`	Source-Free Domain Adaptation for Image Segmentation. CoRR Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
2021	—	`conf`	Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2021	J	`jnl`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021	J	`jnl`	The hidden label-marginal biases of segmentation losses. CoRR Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2021	J	`jnl`	Transductive Few-Shot Learning: Clustering is All You Need? CoRR Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
2021	A	`conf`	Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. WACV Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021	J	`jnl`	Weakly supervised segmentation with cross-modality equivariant constraints. CoRR Gaurav Patel, Jose Dolz
2020	—	`conf`	Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020	—	`conf`	Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2020	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. Neural Networks Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
2020	J	`jnl`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2020	A*	`conf`	Information Maximization for Few-Shot Learning. NeurIPS Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
2020	B	`conf`	Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. IJCNN Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin
2020	J	`jnl`	Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. CoRR Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin
2020	A*	`conf`	Laplacian Regularized Few-Shot Learning. ICML Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Laplacian Regularized Few-Shot Learning. CoRR Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Manifold-driven Attention Maps for Weakly Supervised Segmentation. CoRR Sukesh Adiga V, Jose Dolz, Herve Lombaert
2020	—	`conf`	On Direct Distribution Matching for Adapting Segmentation Networks. MIDL Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2020	J	`jnl`	On the Texture Bias for Few-Shot CNN Segmentation. CoRR Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2020	J	`jnl`	Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. CoRR Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin
2020	J	`jnl`	Semi-supervised few-shot learning for medical image segmentation. CoRR Abdur Razzaq Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz
2020	—	`conf`	Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Source-Relaxed Domain Adaptation for Image Segmentation. CoRR Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Teach me to segment with mixed supervision: Confident students become masters. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2020	J	`jnl`	Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. CoRR Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2019	J	`jnl`	Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 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
2019	—	`conf`	Boundary loss for highly unbalanced segmentation. MIDL Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2019	—	`conf`	Constrained Domain Adaptation for Segmentation. MICCAI (2) Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2019	J	`jnl`	Constrained domain adaptation for segmentation. CoRR Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
2019	J	`jnl`	Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2019	—	`conf`	Curriculum Semi-supervised Segmentation. MICCAI (2) Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed
2019	J	`jnl`	Curriculum semi-supervised segmentation. CoRR Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed
2019	J	`jnl`	Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. CoRR Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
2019	J	`jnl`	HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed
2019	J	`jnl`	Log-barrier constrained CNNs. CoRR Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2019	J	`jnl`	Multi-scale guided attention for medical image segmentation. CoRR Ashish Sinha, Jose Dolz
2019	J	`jnl`	On Direct Distribution Matching for Adapting Segmentation Networks. CoRR Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2019	J	`jnl`	Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. CoRR Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin
2019	J	`jnl`	Revisiting CycleGAN for semi-supervised segmentation. CoRR Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers
2019	J	`jnl`	Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2018	J	`jnl`	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. NeuroImage Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	B	`conf`	An Attention Model for Group-Level Emotion Recognition. ICMI Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
2018	J	`jnl`	An Attention Model for group-level emotion recognition. CoRR Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
2018	J	`jnl`	Boundary loss for highly unbalanced segmentation. CoRR Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2018	J	`jnl`	Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 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
2018	J	`jnl`	Constrained-CNN losses forweakly supervised segmentation. CoRR Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2018	—	`conf`	Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. BrainLes@MICCAI (1) Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2018	J	`jnl`	Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2018	J	`jnl`	Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. CoRR Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers
2018	J	`jnl`	HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed
2018	—	`conf`	IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. CSI@MICCAI Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	J	`jnl`	IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	—	`conf`	Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. ISBI Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers
2018	J	`jnl`	Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu
2017	J	`jnl`	A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. CoRR Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz
2017	J	`jnl`	A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients. CoRR Jose Dolz, Nicolas Reyns, Nacim Betrouni, Dris Kharroubi, Mathilde Quidet, Laurent Massoptier, Maximilien Vermandel
2017	A*	`conf`	DOPE: Distributed Optimization for Pairwise Energies. CVPR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	DOPE: Distributed Optimization for Pairwise Energies. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2017	J	`jnl`	HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. CoRR Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers
2017	—	`conf`	Unbiased Shape Compactness for Segmentation. MICCAI (1) Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	Unbiased Shape Compactness for Segmentation. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2016	J	`jnl`	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2016	J	`jnl`	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. Jose Dolz, Nacim Betrouni, Mathilde Quidet, Dris Kharroubi, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel
2016	J	`jnl`	Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context. Int. J. Comput. Assist. Radiol. Surg. Jose Dolz, Anne Laprie, Soléakhéna Ken, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel
2016	J	`jnl`	User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy. J. Digit. Imaging 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
2015	—	`conf`	A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery. ISBI Jose Dolz, Henri-Arthur Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel
2014	B	`conf`	Combining watershed and graph cuts methods to segment organs at risk in radiotherapy. Image Processing Jose Dolz, Hortense A. Kirisli, Romain Viard, Laurent Massoptier
2014	B	`conf`	Interactive approach to segment organs at risk in radiotherapy treatment planning. Image Processing Jose Dolz, Hortense A. Kirisli, Romain Viard, Laurent Massoptier