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

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Sources of performance variability in deep learning-based polyp detection., , , , , , , , , and 1 other author(s). CoRR, (2022)Abstract: Tattoo-Tomographie - Freihand-3D-Photoakustik und multimodale Bildfusion., , , , , , , , and . Bildverarbeitung für die Medizin, page 114. Springer, (2023)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)Labeling instructions matter in biomedical image analysis., , , , , , , , , and . CoRR, (2022)Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis., , , , , , and . CoRR, (2021)Metrics reloaded: Pitfalls and recommendations for image analysis validation., , , , , , , , , and 57 other author(s). CoRR, (2022)Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern., , , , , , , , and . CoRR, (2020)Biomedical image analysis competitions: The state of current participation practice., , , , , , , , , and 41 other author(s). CoRR, (2022)Surgical data science - from concepts toward clinical translation., , , , , , , , , and 41 other author(s). Medical Image Anal., (2022)Sources of performance variability in deep learning-based polyp detection., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 18 (7): 1311-1322 (July 2023)