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Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation


Dec 22, 2021
Agostina Larrazabal, Cesar Martinez, Jose Dolz, Enzo Ferrante


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The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration


Nov 30, 2021
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz

* 13 pages 

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Mixed-supervised segmentation: Confidence maximization helps knowledge distillation


Sep 24, 2021
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

* This article is a journal extension of our paper in IPMI 2021 arXiv:2012.08051 . Currently under review at Medical Image Analysis. Code available at https://github.com/josedolz/MSL-student-becomes-master 

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Looking at the whole picture: constrained unsupervised anomaly segmentation


Sep 01, 2021
Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz


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Source-Free Domain Adaptation for Image Segmentation


Aug 06, 2021
Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed

* 18 pages, 8 figures, submitted to Elsevier Medical Image Analysis 

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Mutual-Information Based Few-Shot Classification


Jun 23, 2021
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

* Journal extension of arXiv:2008.11297. PyTorch implementation of META-DATASET available at https://github.com/mboudiaf/pytorch-meta-dataset 

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Transductive Few-Shot Learning: Clustering is All You Need?


Jun 16, 2021
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed


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Orthogonal Ensemble Networks for Biomedical Image Segmentation


May 22, 2021
Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante

* Accepted for publication at MICCAI 2021 

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Self-learning for weakly supervised Gleason grading of local patterns


May 21, 2021
Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo


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Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!


May 03, 2021
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed

* Accepted at Medical Imaging with Deep Learning (MIDL) 2021 

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Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer


Apr 19, 2021
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger


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The hidden label-marginal biases of segmentation losses


Apr 18, 2021
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

* Code available at https://github.com/by-liu/SegLossBias 

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Weakly supervised segmentation with cross-modality equivariant constraints


Apr 06, 2021
Gaurav Patel, Jose Dolz

* Submitted to TMI. Code available 

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Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains


Jan 18, 2021
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger

* This is the extended journal version of arXiv:2005.07839 

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Bladder segmentation based on deep learning approaches: current limitations and lessons


Jan 16, 2021
Mark G. Bandyk, Dheeraj R Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz


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Teach me to segment with mixed supervision: Confident students become masters


Dec 15, 2020
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed


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Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?


Dec 11, 2020
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

* 12 pages, 3 figures, 9 tables. Code available at https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation 

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Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy


Nov 26, 2020
Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin


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Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty


Nov 14, 2020
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

* 15 pages, 5 figures, under review 

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Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation


Jul 20, 2020
Le Thanh Nguyen-Meidine, Atif Bela, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger

* Submitted to WACV-2021 

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Laplacian Regularized Few-Shot Learning


Jun 28, 2020
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

* ICML 2020 paper 

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Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation


May 16, 2020
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin

* Accepted to WCCI/IJCNN 2020 

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Source-Relaxed Domain Adaptation for Image Segmentation


May 07, 2020
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed


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Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision


Apr 14, 2020
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

* Full paper, accepted for presentation at MIDL2020 

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Semi-supervised few-shot learning for medical image segmentation


Apr 09, 2020
Abdur R Feyjie, Reza Azad, Marco Pedersoli, Claude Kauffman, Ismail Ben Ayed, Jose Dolz


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Manifold-driven Attention Maps for Weakly Supervised Segmentation


Apr 07, 2020
Sukesh Adiga V, Jose Dolz, Herve Lombaert

* Paper is submitted to MICCAI2020 

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On the Texture Bias for Few-Shot CNN Segmentation


Mar 09, 2020
Reza Azad, Abdur R Fayjie, Claude Kauffman, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz


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