Timo Löhr

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Bjoern MenzeUniversität ZürichVerified email at uzh.ch
Bene WiestlerAI for Image-Guided Diagnosis and Therapy, TUMVerified email at tum.de
Hongwei Bran LiMartinos Center, MGH/Harvard Medical SchoolVerified email at mgh.harvard.edu
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Michael IngrischDepartment of Radiology, Ludwig-Maximilians-University Hospital MunichVerified email at med.uni-muenchen.de
Lisa WimmerPhD student, University of Munich (LMU)Verified email at stat.uni-muenchen.de
Paul HofmanLudwig Maximilian University of MunichVerified email at ifi.lmu.de
Thomas NaglerLMU Munich, Munich Center for Machine LearningVerified email at lmu.de
Yusuf SaleLMU Munich, MCMLVerified email at ifi.lmu.de

Timo Löhr

PhD Student, Chair of Artificial Intelligence and Machine Learning, LMU Munich

Verified email at ifi.lmu.de

Medical Image Analysis Machine Learning Uncertainty Quantification


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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	73	2021
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	17	2021
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	15	2023
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
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
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	4	2023
Towards aleatoric and epistemic uncertainty in medical image classification T Löhr, M Ingrisch, E Hüllermeier International Conference on Artificial Intelligence in Medicine, 145-155, 2024	1	2024
Label-wise aleatoric and epistemic uncertainty quantification Y Sale, P Hofman, T Löhr, L Wimmer, T Nagler, E Hüllermeier arXiv preprint arXiv:2406.02354, 2024	1	2024
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	1	2021
A Multi-View Approach for Automatic Segmentation of Intracranial Aneurysms from Time of Flight MRAs T Löhr, H Li, B Menze	1	2020
Improving White Matter Hyperintensities Segmentation on Unseen Scanners via Unsupervised Domain Adaptation H Li, T Leohr, J Zhang, B Menze

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