| Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ... Neuroimage 238, 118216, 2021 | 50 | 2021 |
| Domain adaptive medical image segmentation via adversarial learning of disease-specific spatial patterns H Li, T Loehr, A Sekuboyina, J Zhang, B Wiestler, B Menze arXiv preprint arXiv:2001.09313, 2020 | 12 | 2020 |
| FedCostWAvg: a new averaging for better federated learning L Mächler, I Ezhov, F Kofler, S Shit, JC Paetzold, T Loehr, C Zimmer, ... International MICCAI Brainlesion Workshop, 383-391, 2021 | 9 | 2021 |
| e-UDA: efficient unsupervised domain adaptation for cross-site medical image segmentation H Li, T Loehr, B Wiestler, J Zhang, B Menze arXiv preprint arXiv:2001.09313, 2020 | 9 | 2020 |
| blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation F Kofler, S Shit, I Ezhov, L Fidon, I Horvath, R Al-Maskari, HB Li, H Bhatia, ... International Conference on Information Processing in Medical Imaging, 755-767, 2023 | 7 | 2023 |
| A Multi-View Approach for Automatic Segmentation of Intracranial Aneurysms from Time of Flight MRAs T Löhr, H Li, B Menze | 1 | 2020 |
| Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images C Prabhakar, HB Li, JC Paetzold, T Loehr, C Niu, M Mühlau, D Rueckert, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| MSSEG-2 new MS lesions detection and segmentation challenge using a data management and processing infrastructure T Löhr, JC Paetzold, A Sekobouyina, S Shit, I Ezhov, B Wiestler, ... MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | | 2021 |
| Improving White Matter Hyperintensities Segmentation on Unseen Scanners via Unsupervised Domain Adaptation H Li, T Leohr, J Zhang, B Menze | | |
Bjoern H MenzeUniversität ZürichBestätigte E-Mail-Adresse bei uzh.ch
