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Tim Rädsch
Tim Rädsch
Intelligent Medical Systems and Hemholtz Imaging, German Cancer Research Center
Verified email at dkfz-heidelberg.de
Title
Cited by
Cited by
Year
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1612021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, A Reinke, T Rädsch, B Menze, PF Jäger
arXiv. org, 2022
1002022
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods, 1-18, 2024
472024
Labelling instructions matter in biomedical image analysis.
T Rädsch, A Reinke, V Weru, MD Tizabi, N Schreck, AE Kavur, ...
Nature Machine Intelligence 5, 273íV283, 2023
312023
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods, 1-13, 2024
252024
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern íK, 2023
182023
Common limitations of performance metrics in biomedical image analysis
A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ...
Medical Imaging with Deep Learning, 2021
162021
Metrics reloaded-a new recommendation framework for biomedical image analysis validation
A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ...
Medical imaging with deep learning, 2022
122022
Common limitations of image processing metrics: a picture story. arXiv
A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ...
arXiv preprint arXiv:2104.05642, 2021
122021
What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images
T Rädsch, S Eckhardt, F Leiser, KD Pandl, S Thiebes, A Sunyaev
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
122021
Common limitations of image processing metrics: a picture story, 2022. doi: 10.48550
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv.2104.05642, 0
5
Towards a Machine Learning-based Decision Support System for Dispatching Helicopters in New Zealand
T Rädsch, M Reuter-Oppermann, D Richards
22021
Labeling instructions matter in biomedical image analysis.
T Rädsch, A Reinke, V Weru, MD Tizabi, N Schreck, AE Kavur, ...
Medical Imaging meets NeurIPS Workshop at NeurIPS 2022, 2022
2022
Labeling instructions matter in biomedical image analysis. An annotator-centric perspective.
T Rädsch, A Reinke, V Weru, MD Tizabi, N Schreck, AE Kavur, ...
Human-Centered AI Workshop at NeurIPS 2022, 2022
2022
ASAM e.V. OpenLABEL V1.0.0 Standard
M Nieto, N Croce, T Rädsch, J Zhang, S Funke, N Hagedorn
https://www.asam.net/project-detail/asam-openlabel-v100/, 2021
2021
OpenLABEL Concept Paper
N Croce, T Rädsch, M Nieto, J Zhang, S Funke, N Hagedorn
Association for Standardization of Automation and Measuring Systems e.V íK, 2020
2020
Guanxi als Einflussfaktor im Vertrieb von Industriegütern
T Rädsch
Technische Universität Ilmenau, 2017
2017
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