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2020 – today
- 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) - [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 - [i82]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) - [i81]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) - [i80]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i79]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) - [i78]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) - [i77]Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR abs/2404.08181 (2024) - [i76]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (2024) - [i75]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) - 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. Medical Imaging: 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. Medical Imaging: Image Processing 2014: 90343Z
Coauthor Index
aka: Éric Granger
aka: Herve Lombaert
aka: Sukesh Adiga Vasudeva
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