| Vidtr: Video transformer without convolutions Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 190 | 2021 |
| Rethinking zero-shot video classification: End-to-end training for realistic applications B Brattoli, J Tighe, F Zhdanov, P Perona, K Chalupka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 149 | 2020 |
| Improving spatiotemporal self-supervision by deep reinforcement learning U Buchler, B Brattoli, B Ommer Proceedings of the European conference on computer vision (ECCV), 770-786, 2018 | 132 | 2018 |
| Mic: Mining interclass characteristics for improved metric learning K Roth, B Brattoli, B Ommer Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 113 | 2019 |
| Cross and learn: Cross-modal self-supervision N Sayed, B Brattoli, B Ommer Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019 | 99 | 2019 |
| Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation AS Wahl, U Büchler, A Brändli, B Brattoli, S Musall, H Kasper, BV Ineichen, ... Nature communications 8 (1), 1187, 2017 | 82 | 2017 |
| Lstm self-supervision for detailed behavior analysis B Brattoli, U Buchler, AS Wahl, ME Schwab, B Ommer Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 56 | 2017 |
| Sharing matters for generalization in deep metric learning T Milbich, K Roth, B Brattoli, B Ommer IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 416-427, 2020 | 30 | 2020 |
| Vidtr: Video transformer without convolutions X Li, Y Zhang, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe arXiv e-prints, arXiv: 2104.11746, 2021 | 29 | 2021 |
| OCELOT: overlapped cell on tissue dataset for histopathology J Ryu, AV Puche, JW Shin, S Park, B Brattoli, J Lee, W Jung, SI Cho, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Unsupervised behaviour analysis and magnification (uBAM) using deep learning B Brattoli, U Büchler, M Dorkenwald, P Reiser, L Filli, F Helmchen, ... Nature Machine Intelligence 3 (6), 495-506, 2021 | 18 | 2021 |
| Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats AS Wahl, E Erlebach, B Brattoli, U Büchler, J Kaiser, BV Ineichen, ... Journal of Cerebral Blood Flow & Metabolism 39 (10), 2022-2034, 2019 | 14 | 2019 |
| Scvrl: Shuffled contrastive video representation learning M Dorkenwald, F Xiao, B Brattoli, J Tighe, D Modolo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 13 | 2022 |
| ubam: Unsupervised behavior analysis and magnification using deep learning B Brattoli, U Büchler, M Dorkenwald, P Reiser, L Filli, F Helmchen, ... CoRR, 2020 | 3 | 2020 |
| X-GAN: Improving generative adversarial networks with ConveX combinations O Blum, B Brattoli, B Ommer Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019 | 3 | 2019 |
| Exploring expression levels of HER2, HER3, MET, Claudin18. 2, and MUC16 across 16 cancer types using an artificial intelligence-powered immunohistochemistry analyzer. S Shin, SI Cho, S Choi, T Lee, S Kim, W Jung, M Mostafavi, B Brattoli, ... Journal of Clinical Oncology 41 (16_suppl), 3135-3135, 2023 | 1 | 2023 |
| Method and apparatus for analyzing pathological slide images RYU Jeongun, S Jaewoong, AV PUCHE, P Seonwook, B Brattoli, ... US Patent App. 18/506,741, 2024 | | 2024 |
| Identification of HER2 ultra-low based on an artificial intelligence (AI)-powered HER2 subcellular quantification from HER2 immunohistochemistry images. W Jung, T Lee, S SHIN, B Brattoli, M Mostafavi, G Park, S Kim, H Lee, ... Journal of Clinical Oncology 42 (16_suppl), 1115-1115, 2024 | | 2024 |
| Method and system for analysing pathology image B Brattoli, C Ock, J Wonkyung, K Paeng, DG Yoo US Patent App. 18/491,314, 2024 | | 2024 |
| Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer B Brattoli, M Mostafavi, T Lee, W Jung, J Ryu, S Park, J Park, S Pereira, ... medRxiv, 2024.07. 16.24310406, 2024 | | 2024 |
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of MunichVerified email at uni-heidelberg.de
