| Mednext: transformer-driven scaling of convnets for medical image segmentation S Roy, G Koehler, C Ulrich, M Baumgartner, J Petersen, F Isensee, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 173 | 2023 |
| nnu-net revisited: A call for rigorous validation in 3d medical image segmentation F Isensee, T Wald, C Ulrich, M Baumgartner, S Roy, K Maier-Hein, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 90 | 2024 |
| Multitalent: A multi-dataset approach to medical image segmentation C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 42 | 2023 |
| Extending nnU-Net is all you need F Isensee, C Ulrich, T Wald, KH Maier-Hein BVM Workshop, 12-17, 2023 | 40 | 2023 |
| How adsorbates alter the metallic behavior of quasi-1D electron systems of the Si (5 5 3)-Au surface M Tzschoppe, C Huck, F Hötzel, B Günther, Z Mamiyev, A Butkevich, ... Journal of Physics: Condensed Matter 31 (19), 195001, 2019 | 21 | 2019 |
| Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... Medical image analysis 101, 103447, 2025 | 19 | 2025 |
| End-to-end deep learning CT image reconstruction for metal artifact reduction DF Bauer, C Ulrich, T Russ, AK Golla, LR Schad, FG Zöllner Applied Sciences 12 (1), 404, 2021 | 11 | 2021 |
| 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, ... European Conference on Computer Vision, 218-234, 2024 | 9 | 2024 |
| nnU-Net revisited: a call for rigorous validation in 3D medical image segmentation (2024) F Isensee, T Wald, C Ulrich, M Baumgartner, S Roy, K Maier-Hein, ... | 4 | |
| Touchstone benchmark: Are we on the right way for evaluating AI algorithms for medical segmentation? PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ... Advances in Neural Information Processing Systems 37, 15184-15201, 2025 | 3 | 2025 |
| Enhanced diagnostic fidelity in pathology whole slide image compression via deep learning M Fischer, P Neher, P Schüffler, S Xiao, SD Almeida, C Ulrich, ... International Workshop on Machine Learning in Medical Imaging, 427-436, 2023 | 3 | 2023 |
| Transformer utilization in medical image segmentation networks S Roy, G Koehler, M Baumgartner, C Ulrich, J Petersen, F Isensee, ... arXiv preprint arXiv:2304.04225, 2023 | 3 | 2023 |
| Revisiting MAE pre-training for 3D medical image segmentation T Wald, C Ulrich, S Lukyanenko, A Goncharov, A Paderno, L Maerkisch, ... arXiv preprint arXiv:2410.23132, 2024 | 2 | 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 | 2 | 2024 |
| Deposition-Dependent Morphology and Infrared Vibrational Spectra of Brominated Tetraazaperopyrene Layers M Tzschoppe, C Huck, B Günther, M Matthiesen, C Ulrich, JN Rose, ... The Journal of Physical Chemistry C 124 (1), 769-779, 2019 | 2 | 2019 |
| ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models W Li, PRAS Bassi, T Lin, YC Chou, X Zhou, Y Tang, F Isensee, K Wang, ... arXiv preprint arXiv:2501.03410, 2025 | 1 | 2025 |
| Longitudinal segmentation of MS lesions via temporal Difference Weighting M Rokuss, Y Kirchhoff, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ... arXiv preprint arXiv:2409.13416, 2024 | 1 | 2024 |
| Multi-dataset Approach to Medical Image Segmentation: MultiTalent C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein BVM Workshop, 78-78, 2024 | 1 | 2024 |
| RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement G Koehler, T Wald, C Ulrich, D Zimmerer, PF Jaeger, JKH Franke, S Kohl, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency T Wald, C Ulrich, F Isensee, D Zimmerer, G Koehler, M Baumgartner, ... arXiv preprint arXiv:2307.02516, 2023 | 1 | 2023 |
