Interactive approach to segment organs at risk in radiotherapy treatment planning. - Jose Dolz; Hortense A. Kirisli; Romain Viard; Laurent Massoptier (Image Processing, 2014)

Combining watershed and graph cuts methods to segment organs at risk in radiotherapy. - Jose Dolz; Hortense A. Kirisli; Romain Viard; Laurent Massoptier (Image Processing, 2014)

A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery. - Jose Dolz; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (ISBI, 2015)

Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context. - Jose Dolz; Anne Laprie; Soléakhéna Ken; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (Int. J. Comput. Assist. Radiol. Surg., 2016)

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study. - Jose Dolz; Nacim Betrouni; Mathilde Quidet; Dris Kharroubi; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (Comput. Medical Imaging Graph., 2016)

User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy. - 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 003 (J. Digit. Imaging, 2016)

DOPE: Distributed Optimization for Pairwise Energies. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (CVPR, 2017)

Unbiased Shape Compactness for Segmentation. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (MICCAI (1), 2017)

A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients. - Jose Dolz; Nicolas Reyns; Nacim Betrouni; Dris Kharroubi; Mathilde Quidet; Laurent Massoptier; Maximilien Vermandel (CoRR, 2017)

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. - Tobias Fechter; Sonja Adebahr; Dimos Baltas; Ismail Ben Ayed; Christian Desrosiers; Jose Dolz (CoRR, 2017)

HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. - Jose Dolz; Ismail Ben Ayed; Jing Yuan 001; Christian Desrosiers (CoRR, 2017)

An Attention Model for Group-Level Emotion Recognition. - Aarush Gupta; Dakshit Agrawal; Hardik Chauhan; Jose Dolz; Marco Pedersoli (ICMI, 2018)

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. - Jose Dolz; Ismail Ben Ayed; Jing Yuan 001; Christian Desrosiers (ISBI, 2018)

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (BrainLes@MICCAI (1), 2018)

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (CSI@MICCAI, 2018)

Constrained-CNN losses forweakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (CoRR, 2018)

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. - Jose Dolz; Xiaopan Xu; Jérôme Rony; Jing Yuan 001; Yang Liu 093; Eric Granger; Christian Desrosiers; Xi Zhang 017; Ismail Ben Ayed; Hongbing Lu (CoRR, 2018)

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. - Arnab Kumar Mondal; Jose Dolz; Christian Desrosiers (CoRR, 2018)

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. - Aaron Carass; Jennifer L. Cuzzocreo; Shuo Han 001; Carlos R. Hernandez-Castillo; Paul E. Rasser; Melanie Ganz; Vincent Beliveau; Jose Dolz; Ismail Ben Ayed; Christian Desrosiers; Benjamin Thyreau; José E. Romero; et al. (NeuroImage, 2018)

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (NeuroImage, 2018)

Constrained Domain Adaptation for Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (2), 2019)

Curriculum Semi-supervised Segmentation. - Hoel Kervadec; Jose Dolz; Éric Granger; Ismail Ben Ayed (MICCAI (2), 2019)

Log-barrier constrained CNNs. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (CoRR, 2019)

Multi-scale guided attention for medical image segmentation. - Ashish Sinha; Jose Dolz (CoRR, 2019)

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Revisiting CycleGAN for semi-supervised segmentation. - Arnab Kumar Mondal; Aniket Agarwal; Jose Dolz; Christian Desrosiers (CoRR, 2019)

Deep weakly-supervised learning methods for classification and localization in histology images: a survey. - Jérôme Rony; Soufiane Belharbi; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. - Bach Ngoc Kim; Christian Desrosiers; Jose Dolz; Pierre-Marc Jodoin (CoRR, 2019)

Constrained-CNN losses for weakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (Medical Image Anal., 2019)

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. - Jose Dolz; Karthik Gopinath; Jing Yuan 001; Herve Lombaert; Christian Desrosiers; Ismail Ben Ayed (IEEE Trans. Medical Imaging, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

Laplacian Regularized Few-Shot Learning. - Imtiaz Masud Ziko; Jose Dolz; Eric Granger; Ismail Ben Ayed (ICML, 2020)

Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. - Le Thanh Nguyen-Meidine; Eric Granger; Madhu Kiran; Jose Dolz; Louis-Antoine Blais-Morin (IJCNN, 2020)

Source-Relaxed Domain Adaptation for Image Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (1), 2020)

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. - Adrian Galdran; Jose Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (MICCAI (5), 2020)

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. - Hoel Kervadec; Jose Dolz; Shanshan Wang 002; Eric Granger; Ismail Ben Ayed (MIDL, 2020)

On Direct Distribution Matching for Adapting Segmentation Networks. - Georg Pichler; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (MIDL, 2020)

Information Maximization for Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2020)

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. - Jose Dolz; Christian Desrosiers; Li Wang 026; Jing Yuan 001; Dinggang Shen; Ismail Ben Ayed (Comput. Medical Imaging Graph., 2020)

Semi-supervised few-shot learning for medical image segmentation. - Abdur R. Fayjie; Reza Azad; Marco Pedersoli; Claude Kauffmann; Ismail Ben Ayed; Jose Dolz (CoRR, 2020)

Manifold-driven Attention Maps for Weakly Supervised Segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (CoRR, 2020)

Transductive Information Maximization For Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; José Dolz; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. - Adrian Galdran; André Anjos; José Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (CoRR, 2020)

Discretely-constrained deep network for weakly supervised segmentation. - Jizong Peng; Hoel Kervadec; Jose Dolz; Ismail Ben Ayed; Marco Pedersoli; Christian Desrosiers (Neural Networks, 2020)

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. - Bach Ngoc Kim; Jose Dolz; Christian Desrosiers; Pierre-Marc Jodoin (BMVC, 2021)

Looking at the whole picture: constrained unsupervised anomaly segmentation. - Julio Silva-Rodríguez; Valery Naranjo; Jose Dolz (BMVC, 2021)

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 (CVPR, 2021)

A Self-Training Framework for Glaucoma Grading In OCT B-Scans. - Gabriel García 001; Adrián Colomer; Rafael Verdú Monedero; Jose Dolz; Valery Naranjo (EUSIPCO, 2021)

Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (IPMI, 2021)

Orthogonal Ensemble Networks for Biomedical Image Segmentation. - Agostina J. Larrazabal; César Ernesto Martínez; Jose Dolz; Enzo Ferrante (MICCAI (3), 2021)

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! - Hoel Kervadec; Houda Bahig; Laurent Létourneau-Guillon; Jose Dolz; Ismail Ben Ayed (MIDL, 2021)

On the Texture Bias for Few-Shot CNN Segmentation. - Reza Azad; Abdur R. Fayjie; Claude Kauffmann; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (WACV, 2021)

Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. - Le Thanh Nguyen-Meidine; Atif Belal; Madhu Kiran; Jose Dolz; Louis-Antoine Blais-Morin; Eric Granger (WACV, 2021)

MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons. - Mark G. Bandyk; Dheeraj R. Gopireddy; Chandana Lall; K. C. Balaji; Jose Dolz (Comput. Biol. Medicine, 2021)

Bladder segmentation based on deep learning approaches: current limitations and lessons. - Mark G. Bandyk; Dheeraj R. Gopireddy; Chandana Lall; K. C. Balaji; Jose Dolz (CoRR, 2021)

The hidden label-marginal biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (CoRR, 2021)

Transductive Few-Shot Learning: Clustering is All You Need? - Imtiaz Masud Ziko; Malik Boudiaf; Jose Dolz; Eric Granger; Ismail Ben Ayed (CoRR, 2021)

Mutual-Information Based Few-Shot Classification. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (CoRR, 2021)

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (CoRR, 2021)

Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation. - Agostina J. Larrazabal; César Ernesto Martínez; José Dolz; Enzo Ferrante (CoRR, 2021)

Knowledge distillation methods for efficient unsupervised adaptation across multiple domains. - Le Thanh Nguyen-Meidine; Atif Belal; Madhu Kiran; Jose Dolz; Louis-Antoine Blais-Morin; Eric Granger (Image Vis. Comput., 2021)

Boundary loss for highly unbalanced segmentation. - Hoel Kervadec; Jihene Bouchtiba; Christian Desrosiers; Eric Granger; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2021)

Self-Learning for Weakly Supervised Gleason Grading of Local Patterns. - Julio Silva-Rodríguez; Adrián Colomer; Jose Dolz; Valery Naranjo (IEEE J. Biomed. Health Informatics, 2021)

Multi-Scale Self-Guided Attention for Medical Image Segmentation. - Ashish Sinha; Jose Dolz (IEEE J. Biomed. Health Informatics, 2021)

Constrained Domain Adaptation for Image Segmentation. - Mathilde Bateson; José Dolz; Hoel Kervadec; Hervé Lombaert; Ismail Ben Ayed (IEEE Trans. Medical Imaging, 2021)

Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. - Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers (IEEE Trans. Medical Imaging, 2021)

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. - Bingyuan Liu; Ismail Ben Ayed; Adrian Galdran; Jose Dolz (CVPR, 2022)

Constrained deep networks: Lagrangian optimization via Log-barrier extensions. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (EUSIPCO, 2022)

Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (MICCAI (8), 2022)

On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. - Martin Van Waerebeke; Gregory A. Lodygensky; Jose Dolz (UNSURE@MICCAI, 2022)

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2022)

Mutual Information-based Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (CoRR, 2022)

Source-free domain adaptation for image segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (Medical Image Anal., 2022)

Weakly supervised segmentation with cross-modality equivariant constraints. - Gaurav Patel; Jose Dolz (Medical Image Anal., 2022)

Constrained unsupervised anomaly segmentation. - Julio Silva-Rodríguez; Valery Naranjo; Jose Dolz (Medical Image Anal., 2022)

Incremental multi-target domain adaptation for object detection with efficient domain transfer. - Le Thanh Nguyen-Meidine; Madhu Kiran; Marco Pedersoli; Jose Dolz; Louis-Antoine Blais-Morin; Eric Granger (Pattern Recognit., 2022)

Attention-Based Dynamic Subspace Learners for Medical Image Analysis. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (IEEE J. Biomed. Health Informatics, 2022)

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (IEEE Trans. Medical Imaging, 2022)

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. - Julio Silva-Rodríguez; Jihed Chelbi; Waziha Kabir; Hadi Chakor; Jose Dolz; Ismail Ben Ayed; Riadh Kobbi (CGI (3), 2023)

A Strong Baseline for Generalized Few-Shot Semantic Segmentation. - Sina Hajimiri; Malik Boudiaf; Ismail Ben Ayed; Jose Dolz (CVPR, 2023)

Class Adaptive Network Calibration. - Bingyuan Liu; Jérôme Rony; Adrian Galdran; Jose Dolz; Ismail Ben Ayed (CVPR, 2023)

Parametric Information Maximization for Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (ICCV, 2023)

Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. - Farzad Beizaee; Christian Desrosiers; Gregory A. Lodygensky; Jose Dolz (IPMI, 2023)

Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. - Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers (IPMI, 2023)

Maximum Entropy on Erroneous Predictions: Improving Model Calibration for Medical Image Segmentation. - Agostina J. Larrazabal; César Martínez; Jose Dolz; Enzo Ferrante (MICCAI (3), 2023)

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. - Balamurali Murugesan; Sukesh Adiga V; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (MICCAI (3), 2023)

GeoLS: Geodesic Label Smoothing for Image Segmentation. - Sukesh Adiga Vasudeva; Jose Dolz; Herve Lombaert (MIDL, 2023)

Transductive few-shot adapters for medical image segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (CoRR, 2023)

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

Calibrating segmentation networks with margin-based label smoothing. - Balamurali Murugesan; Bingyuan Liu; Adrian Galdran; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. - Yunshi Huang; Fereshteh Shakeri; Jose Dolz; Malik Boudiaf; Houda Bahig; Ismail Ben Ayed (CVPR, 2024)

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. - Julio Silva-Rodríguez; Sina Hajimiri; Ismail Ben Ayed; Jose Dolz (CVPR, 2024)

Robust Calibration of Large Vision-Language Adapters. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (ECCV (24), 2024)

Class and Region-Adaptive Constraints for Network Calibration. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (MICCAI (8), 2024)

Few-Shot Adaptation of Medical Vision-Language Models. - Fereshteh Shakeri; Yunshi Huang; Julio Silva-Rodríguez; Houda Bahig; An Tang; Jose Dolz; Ismail Ben Ayed (MICCAI (12), 2024)

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 (WACV, 2024)

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 (WACV, 2024)

Do not trust what you trust: Miscalibration in Semi-supervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. - Shambhavi Mishra; Julio Silva-Rodríguez; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Are foundation models for computer vision good conformal predictors? - Leo Fillioux; Julio Silva-Rodríguez; Ismail Ben Ayed; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Jose Dolz (CoRR, 2024)

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation. - Pablo Morales-Álvarez; Stergios Christodoulidis; Maria Vakalopoulou; Pablo Piantanida; Jose Dolz (CoRR, 2024)

Do not trust what you trust: Miscalibration in Semisupervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (Trans. Mach. Learn. Res., 2024)

Do we really need dice? The hidden region-size biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (Medical Image Anal., 2024)

Anatomically-aware uncertainty for semi-supervised image segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (Medical Image Anal., 2024)

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection. - Farzad Beizaee; Gregory A. Lodygensky; Christian Desrosiers; Jose Dolz (CVPR, 2025)

Conformal Prediction for Zero-Shot Models. - Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (CVPR, 2025)

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. - Farzad Beizaee; Gregory A. Lodygensky; Christian Desrosiers; Jose Dolz (IPMI (2), 2025)

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (IPMI (2), 2025)

Full Conformal Adaptation of Medical Vision-Language Models. - Julio Silva-Rodríguez; Leo Fillioux; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Ismail Ben Ayed; Jose Dolz (IPMI (2), 2025)

ReC- Ttt: Contrastive Feature Reconstruction for Test-Time Training. - Marco Colussi; Sergio Mascetti; Jose Dolz; Christian Desrosiers (WACV, 2025)

Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. - Sina Hajimiri; Ismail Ben Ayed; Jose Dolz (WACV, 2025)

Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation. - Franco Matzkin; Agostina J. Larrazabal; Diego H. Milone; Jose Dolz; Enzo Ferrante (Comput. Biol. Medicine, 2025)

Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization. - 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 (Medical Image Anal., 2025)

Neighbor-aware calibration of segmentation networks with penalty-based constraints. - Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2025)

A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. - Julio Silva-Rodríguez; Hadi Chakor; Riadh Kobbi; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

DART3: Leveraging Distance for Test Time Adaptation in Person Re-Identification. - Rajarshi Bhattacharya; Shakeeb Murtaza; Christian Desrosiers; Jose Dolz; Maguelonne Heritier; Eric Granger (CoRR, 2025)

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation. - Julio Silva-Rodríguez; Fereshteh Shakeri; Houda Bahig; Jose Dolz; Ismail Ben Ayed (CoRR, 2025)

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction. - Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (CoRR, 2025)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction. - Marc Lafon; Yannis Karmim; Julio Silva-Rodríguez; Paul Couairon; Clément Rambour; Raphaël Fournier-S'niehotta; Ismail Ben Ayed; Jose Dolz; Nicolas Thome (CoRR, 2025)

THUNDER: Tile-level Histopathology image UNDERstanding benchmark. - Pierre Marza; Leo Fillioux; Sofiène Boutaj; Kunal Mahatha; Christian Desrosiers; Pablo Piantanida; Jose Dolz; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)

SGPMIL: Sparse Gaussian Process Multiple Instance Learning. - Andreas Lolos; Stergios Christodoulidis; Maria Vakalopoulou; Jose Dolz; Aris Moustakas (CoRR, 2025)

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. - Ghassen Baklouti; Julio Silva-Rodríguez; Jose Dolz; Houda Bahig; Ismail Ben Ayed (CoRR, 2025)