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Recognizing Surgical Activities with Recurrent Neural Networks.

, , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 551-558. (2016)

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Pairwise Comparison-Based Objective Score for Automated Skill Assessment of Segments in a Surgical Task., , , and . IPCAI, volume 8498 of Lecture Notes in Computer Science, page 138-147. Springer, (2014)Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery., , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 121-130. Springer, (2018)Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills., , , , , , , , , and . MICCAI (9), volume 14228 of Lecture Notes in Computer Science, page 708-717. Springer, (2023)System events: readily accessible features for surgical phase detection., , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (6): 1201-1209 (2016)Surgical data science - from concepts toward clinical translation., , , , , , , , , and 41 other author(s). Medical Image Anal., (2022)Recognizing Surgical Activities with Recurrent Neural Networks., , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 551-558. (2016)Naive human judges can accurately predict expertise in children's block building. Can embedded motion sensors do just as well?, , , , , and . CogSci, cognitivesciencesociety.org, (2023)Virtual fixture assistance for needle passing and knot tying., , , , , , and . IROS, page 2343-2350. IEEE, (2016)Capturing relationships between suturing sub-skills to improve automatic suturing assessment., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2024)Surgical Data Science - from Concepts to Clinical Translation., , , , , , , , , and 26 other author(s). CoRR, (2020)