| Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model T Wald, S Roy, G Koehler, N Disch, MR Rokuss, J Holzschuh, D Zimmerer, ... Medical Imaging with Deep Learning, short paper track, 2023 | 134* | 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 | 83 | 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 | 39 | 2023 |
| Extending nnU-Net is all you need F Isensee, C Ulrich, T Wald, MH Klaus https://arxiv.org/abs/2208.10791, 2022 | 39 | 2022 |
| Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks I Pflüger, T Wald, F Isensee, M Schell, H Meredig, K Schlamp, ... Neuro-oncology advances 4 (1), vdac138, 2022 | 25 | 2022 |
| 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 | 8 | 2024 |
| Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... European radiology 34 (7), 4379-4392, 2024 | 8 | 2024 |
| cOOpD: reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Taming Detection Transformers for Medical Object Detection MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein BVM Workshop, 183-188, 2023 | 7 | 2023 |
| Resi: A comprehensive benchmark for representational similarity measures M Klabunde, T Wald, T Schumacher, K Maier-Hein, M Strohmaier, ... arXiv preprint arXiv:2408.00531, 2024 | 6 | 2024 |
| 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, ... arXiv preprint arXiv:2411.03670, 2024 | 3 | 2024 |
| Temporal feature networks for CNN based object detection M Weber, T Wald, JM Zöllner 2021 IEEE Intelligent Vehicles Symposium (IV), 1478-1484, 2021 | 3 | 2021 |
| Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... Frontiers in Medicine 11, 1360706, 2024 | 2 | 2024 |
| 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 | 1 | 2024 |
| Learned image compression for he-stained histopathological images via stain deconvolution M Fischer, P Neher, T Wald, SD Almeida, S Xiao, P Schüffler, R Braren, ... International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2024 | 1 | 2024 |
| 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 |
| How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detection S D. Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... Insights into imaging 15 (1), 198, 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 |
| Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI T Wald, B Hamm, JC Holzschuh, R El Shafie, A Kudak, B Kovacs, I Pflüger, ... European Radiology Experimental 9 (1), 1-14, 2025 | | 2025 |
| A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data M Nohel, C Ulrich, J Suprijadi, T Wald, K Maier-Hein arXiv preprint arXiv:2501.04361, 2025 | | 2025 |
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research Centerdkfz.de의 이메일 확인됨