Influence of modified light-flavor hadron spectra on particle yields in the statistical hadronization model A Andronic, P Braun-Munzinger, D Gündüz, Y Kirchhoff, MK Köhler, ... Nuclear Physics A 1010, 122176, 2021 | 12 | 2021 |
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... arXiv preprint arXiv:2312.17670, 2023 | 4 | 2023 |
atTRACTive: Semi-automatic white matter tract segmentation using active learning R Peretzke, KH Maier-Hein, J Bohn, Y Kirchhoff, S Roy, S Oberli-Palma, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures Y Kirchhoff, MR Rokuss, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ... arXiv preprint arXiv:2404.03010, 2024 | | 2024 |
Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive R Peretzke, K Maier-Hein, J Bohn, Y Kirchhoff, S Roy, S Oberli-Palme, ... BVM Workshop, 335-335, 2024 | | 2024 |
From Generalist to Specialist: Incorporating Domain-Knowledge into Flamingo for Chest X-Ray Report Generation R Stock, S Denner, Y Kirchhoff, C Ulrich, MR Rokuss, S Roy, N Disch, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
Curriculum-learning for Vessel Occlusion Detection in Multi-site Brain CT Angiographies AM Mora, M Baumgartner, G Brugnara, M Zenk, Y Kirchhoff, A Rastogi, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
Influence of modified (non-) strange hadron spectra on statistical hadronization model calculations A Andronic, P Braun-Munzinger, Y Kirchhoff, M Köhler, J Stachel Verhandlungen der Deutschen Physikalischen Gesellschaft, 2019 | | 2019 |
Extending Supervised Pretraining on Large Organ Dataset to Universal Lesion Segmentation Y Kirchhoff, MR Rokuss, S Roy, KH Maier-Hein | | |