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Timo Löhr
Timo Löhr
PhD Student, Chair of Artificial Intelligence and Machine Learning, LMU Munich
Verified email at ifi.lmu.de
Title
Cited by
Cited by
Year
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
452021
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
122020
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
92021
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
92020
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
62023
A Multi-View Approach for Automatic Segmentation of Intracranial Aneurysms from Time of Flight MRAs
T Löhr, H Li, B Menze
12020
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
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