| 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 | 58* | 2021 |
| 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 | 49* | 2020 |
| Self-supervised generative style transfer for one-shot medical image segmentation D Tomar, B Bozorgtabar, M Lortkipanidze, G Vray, MS Rad, JP Thiran Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 20* | 2022 |
| Tesla: Test-time self-learning with automatic adversarial augmentation D Tomar, G Vray, B Bozorgtabar, JP Thiran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| G2-VER: Geometry guided model ensemble for video-based facial expression recognition T Albrici, M Fasounaki, SB Salimi, G Vray, B Bozorgtabar, HK Ekenel, ... 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 12 | 2019 |
| SOoD: Self-supervised out-of-distribution detection under domain shift for multi-class colorectal cancer tissue types B Bozorgtabar, G Vray, D Mahapatra, JP Thiran Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 10 | 2021 |
| OptTTA: Learnable test-time augmentation for source-free medical image segmentation under domain shift D Tomar, GMG Vray, B Bozorgtabar, JP Thiran Proceedings of Machine Learning Research, Volume 172: International …, 2022 | 9 | 2022 |
| Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology G Vray, D Tomar, B Bozorgtabar, JP Thiran IEEE Transactions on Medical Imaging, 2024 | 4* | 2024 |
| Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation D Tomar, G Vray, JP Thiran, B Bozorgtabar The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
| LTS5 A Abbey, F Amarù, S Apte, NM Arar, M Bach Cuadra, M Barakovic, ... | | |
Behzad BozorgtabarGroup Leader & Lecturer at EPFL; Senior Scientist at CHUV-EPFL在 epfl.ch 的电子邮件经过验证
