Publications

For a complete list of publications, please visit my Google Scholar profile

2025 - Jiménez-Sánchez, A., ..., Rädsch, T., et al. "In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review" (Preprint)
2024 - Rädsch, T., et al. "Quality Assured: Rethinking Annotation Strategies in Imaging AI" (ECCV)
2024 - Maier-Hein, L., ..., Rädsch, T., et al. "Metrics reloaded: recommendations for image analysis validation" (Nature Methods)
2024 - Reinke, A., ..., Rädsch, T., et al. "Understanding metric-related pitfalls in image analysis validation" (Nature Methods)
2024 - Heller, N., Isensee, F., Rädsch, T. "Kidney and Kidney Tumor Segmentation: MICCAI 2023 Challenge" (Springer)
2023 - Rädsch, T., et al. "Labelling instructions matter in biomedical image analysis" (Nature Machine Intelligence)
2023 - Eisenmann, M., ..., Rädsch, T., et al. "Why is the winner the best?" (CVPR)
2022 - Rädsch, T., et al. "Labeling instructions matter in biomedical image analysis" (Medical Imaging meets NeurIPS Workshop @ NeurIPS)
2022 - Rädsch, T., et al. "Labeling instructions matter in biomedical image analysis. An annotator-centric perspective" (Human-Centered AI Workshop @ NeurIPS)
2022 - Maier-Hein, L., ..., Rädsch, T., et al. "Metrics reloaded: Pitfalls and recommendations for image analysis validation" (Preprint)
2022 - Reinke, A., ..., Rädsch, T., et al. "Metrics reloaded: a new recommendation framework for biomedical image analysis validation" (MIDL)
2021 - Reinke, A., ..., Rädsch, T., et al. "Common limitations of performance metrics in biomedical image analysis" (MIDL)
2021 - Reinke, A., ..., Rädsch, T., et al. "Common limitations of image processing metrics: A picture story" (Preprint)
2021 - Rädsch, T., et al. "What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images" (HICSS)
2021 - Rädsch, T., et al. "Towards a Machine Learning-based Decision Support System for Dispatching Helicopters in New Zealand" (HICSS)