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Surgical data science - from concepts toward clinical translation., , , , , , , , , and 41 other author(s). Medical Image Anal., (2022)SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction., , , , and . Medical Image Anal., (2022)IPCAI 2018 Special Issue: Information Processing for Computer-Assisted Interventions, 9th International Conference 2018 - Part 1., , and . Int. J. Comput. Assist. Radiol. Surg., 13 (5): 607-610 (2018)Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications., , , , , , and . CoRR, (2023)TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition., , , and . CoRR, (2023)Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors., , , , , , , , , and 4 other author(s). CoRR, (2024)Robust Medical Instrument Segmentation Challenge 2019., , , , , , , , , and 40 other author(s). CoRR, (2020)Active learning using deep Bayesian networks for surgical workflow analysis., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1079-1087 (2019)Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (6): 881-888 (2016)Turing Meets Machine Learning: Uncomputability of Zero-Error Classifiers., , , and . CDC, page 8559-8566. IEEE, (2023)