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A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.

, , , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841I. SPIE, (2016)

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Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process., , , and . Bildverarbeitung für die Medizin, page 113. Springer, (2022)Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences., , , , , , , , , and 6 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (8): 1201-1212 (2015)Toward a standard ontology of surgical process models., , , , , , , , , and 10 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (9): 1397-1408 (2018)Toward knowledge-based liver surgery: holistic information processing for surgical decision support., , , , , , , , , and 11 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (6): 749-759 (2015)Surgical data science - from concepts toward clinical translation., , , , , , , , , and 41 other author(s). Medical Image Anal., (2022)Navigated marker placement for motion compensation in radiotherapy., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94151K. SPIE, (2015)Surgical Data Science - from Concepts to Clinical Translation., , , , , , , , , and 26 other author(s). CoRR, (2020)