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Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process.

, , , и . Bildverarbeitung für die Medizin, стр. 113. Springer, (2022)

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Why is the Winner the Best?, , , , , , , , , и 115 other автор(ы). CVPR, стр. 19955-19966. IEEE, (2023)Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process., , , и . Bildverarbeitung für die Medizin, стр. 113. Springer, (2022)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , и 68 other автор(ы). CoRR, (2023)BIAS: Transparent reporting of biomedical image analysis challenges., , , , , , , , , и 4 other автор(ы). Medical Image Anal., (2020)A Delphi consensus statement for digital surgery., , , , , , , , , и 30 other автор(ы). npj Digit. Medicine, (2022)Metrics reloaded: Pitfalls and recommendations for image analysis validation., , , , , , , , , и 57 other автор(ы). CoRR, (2022)Surgical data science - from concepts toward clinical translation., , , , , , , , , и 41 other автор(ы). Medical Image Anal., (2022)Biomedical image analysis competitions: The state of current participation practice., , , , , , , , , и 41 other автор(ы). CoRR, (2022)BIAS: Transparent reporting of biomedical image analysis challenges., , , , , , , , , и 4 other автор(ы). CoRR, (2019)Biomedical image analysis competitions: The state of current participation practice, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2212.08568, (2022)