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Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation


Oct 05, 2021
Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran

* Accepted in WACV 2022 

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Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection


Aug 20, 2021
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran


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Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images


Apr 06, 2021
Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran


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Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation


Mar 05, 2021
Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran

* Accepted for publication in IEEE Transactions on Medical Imaging (IEEE TMI) 

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Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs


Mar 04, 2021
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel

* 10 pages, 5 figures 

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Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays


Feb 22, 2021
Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran

* Accepted by ISBI 2021 

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Quantifying Explainers of Graph Neural Networks in Computational Pathology


Nov 25, 2020
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel


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Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning


Oct 19, 2020
Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran


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Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance


Aug 05, 2020
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao


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Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer


Jul 07, 2020
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran


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Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution


Jul 06, 2020
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran


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Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation


Apr 03, 2020
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao

* Accepted to CVPR 2020 

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Revisiting Few-Shot Learning for Facial Expression Recognition


Dec 11, 2019
Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani


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SROBB: Targeted Perceptual Loss for Single Image Super-Resolution


Aug 20, 2019
Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran

* ICCV 2019 

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Benefiting from Multitask Learning to Improve Single Image Super-Resolution


Jul 29, 2019
Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran

* accepted at Neurocomputing (Special Issue on Deep Learning for Image Super-Resolution), 2019 

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Exploring Factors for Improving Low Resolution Face Recognition


Jul 25, 2019
Omid Abdollahi Aghdam, Behzad Bozorgtabar, Hazım Kemal Ekenel, Jean-Philippe Thiran

* CVPR Workshop on Biometrics 2019 

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Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis


May 17, 2019
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran

* 8 pages, 8 figures, 5 tables, accepted by FG 2019. arXiv admin note: substantial text overlap with arXiv:1905.00286 

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Learn to synthesize and synthesize to learn


May 01, 2019
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazım Kemal Ekenel, Jean-Philippe Thiran

* Accepted to Computer Vision and Image Understanding (CVIU) 

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Informative sample generation using class aware generative adversarial networks for classification of chest Xrays


Apr 30, 2019
Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Phillipe Thiran, Mauricio Reyes


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Progressive Generative Adversarial Networks for Medical Image Super resolution


Feb 18, 2019
Dwarikanath Mahapatra, Behzad Bozorgtabar

* NA 

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Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks


Nov 12, 2018
Guillaume Jaume, Behzad Bozorgtabar, Hazim Kemal Ekenel, Jean-Philippe Thiran, Maria Gabrani

* NIPS 2018, Relational Representation Learning Workshop 

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Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network


Jun 22, 2018
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes

* Accepted to MICCAI 2018 

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Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution


May 21, 2018
Dwarikanath Mahapatra, Behzad Bozorgtabar

* Accepted in MICCAI 2017 conference 

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