| Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model S Roy, T Wald, G Koehler, MR Rokuss, N Disch, J Holzschuh, D Zimmerer, ... arXiv preprint arXiv:2304.05396, 2023 | 65 | 2023 |
| 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 | 24 | 2023 |
| Extending nnU-Net is all you need F Isensee, C Ulrich, T Wald, MH Klaus https://arxiv.org/abs/2208.10791, 2022 | 23 | 2022 |
| 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 | 18 | 2023 |
| 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 | 18 | 2022 |
| 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, 1-14, 2023 | 5 | 2023 |
| Taming Detection Transformers for Medical Object Detection MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein BVM Workshop, 183-188, 2023 | 5 | 2023 |
| Zero-shot medical image segmentation capabilities of the Segment Anything Model. arXiv 2023 S Roy, T Wald, G Koehler, MR Rokuss, N Disch, J Holzschuh, D Zimmerer, ... arXiv preprint arXiv:2304.05396, 0 | 5 | |
| 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, ... arXiv preprint arXiv:2404.09556, 2024 | 3 | 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 | 3 | 2023 |
| Temporal feature networks for CNN based object detection M Weber, T Wald, JM Zöllner 2021 IEEE Intelligent Vehicles Symposium (IV), 1478-1484, 2021 | 2 | 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, ... arXiv preprint arXiv:2404.03010, 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 |
| 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, ... arXiv preprint arXiv:2406.12623, 2024 | | 2024 |
| Mitigating False Predictions In Unreasonable Body Regions C Ulrich, C Knobloch, JC Holzschuh, T Wald, MR Rokuss, M Zenk, ... arXiv preprint arXiv:2404.15718, 2024 | | 2024 |
| 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 | | 2024 |
| Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations: cOOpD SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ... BVM Workshop, 115-115, 2024 | | 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 | | 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 | | 2023 |
| Probabilistic modeling of COPD imaging characteristics for disease severity prediction SD Almeida, T Norajitra, C Lueth, T Wald, T Kopytova, M Nolden, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research Center在 dkfz.de 的电子邮件经过验证
