Behzad Bozorgtabar
Behzad Bozorgtabar
Group Leader & Lecturer at EPFL; Senior Scientist at CHUV-EPFL
Verified email at - Homepage
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Cited by
The Visual Object Tracking VOT2013 challenge results
M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, A Khajenezhad, ...
IEEE International Conference on Computer Vision Workshops, 98-111, 2013
Image super-resolution using progressive generative adversarial networks for medical image analysis
D Mahapatra, B Bozorgtabar, R Garnavi
Computerized Medical Imaging and Graphics 71, 30-39, 2019
An improved signal segmentation using moving average and Savitzky-Golay filter
H Azami, K Mohammadi, B Bozorgtabar
Scientific Research Publishing, 2012
Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network
D Mahapatra, B Bozorgtabar, JP Thiran, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Srobb: Targeted perceptual loss for single image super-resolution
MS Rad, B Bozorgtabar, UV Marti, M Basler, HK Ekenel, JP Thiran
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis
D Mahapatra, B Bozorgtabar, S Hewavitharanage, R Garnavi
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Quantifying explainers of graph neural networks in computational pathology
G Jaume, P Pati, B Bozorgtabar, A Foncubierta, AM Anniciello, F Feroce, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging
Z Ge, S Demyanov, B Bozorgtabar, M Abedini, R Chakravorty, A Bowling, ...
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning
B Bozorgtabar, S Sedai, PK Roy, R Garnavi
IBM Journal of Research and Development 61 (4/5), 6: 1-6: 8, 2017
Sparse coding based skin lesion segmentation using dynamic rule-based refinement
B Bozorgtabar, M Abedini, R Garnavi
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
Divide-and-rule: self-supervised learning for survival analysis in colorectal cancer
C Abbet, I Zlobec, B Bozorgtabar, JP Thiran
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Self-attentive spatial adaptive normalization for cross-modality domain adaptation
D Tomar, M Lortkipanidze, G Vray, B Bozorgtabar, JP Thiran
IEEE Transactions on Medical Imaging 40 (10), 2926-2938, 2021
Structure preserving stain normalization of histopathology images using self supervised semantic guidance
D Mahapatra, B Bozorgtabar, JP Thiran, L Shao
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
ExprADA: Adversarial domain adaptation for facial expression analysis
B Bozorgtabar, D Mahapatra, JP Thiran
Pattern Recognition 100, 107111, 2020
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation
S Baghersalimi, B Bozorgtabar, P Schmid-Saugeon, HK Ekenel, ...
EURASIP Journal on Image and Video Processing 2019 (1), 71, 2019
Retinal vasculature segmentation using local saliency maps and generative adversarial networks for image super resolution
D Mahapatra, B Bozorgtabar
arXiv preprint arXiv:1710.04783, 2017
Salad: Self-supervised aggregation learning for anomaly detection on x-rays
B Bozorgtabar, D Mahapatra, G Vray, JP Thiran
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Syndemo: Synergistic deep feature alignment for joint learning of depth and ego-motion
B Bozorgtabar, MS Rad, D Mahapatra, JP Thiran
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Learning whole-slide segmentation from inexact and incomplete labels using tissue graphs
V Anklin, P Pati, G Jaume, B Bozorgtabar, A Foncubierta-Rodriguez, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
B Bozorgtabar, D Mahapatra, H von Tengg-Kobligk, A Poellinger, L Ebner, ...
Computer vision and image understanding 184, 57-65, 2019
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