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Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources., , , , , , и . ICRA, стр. 371-377. IEEE, (2020)Stereo Correspondence and Reconstruction of Endoscopic Data Challenge., , , , , , , , , и 14 other автор(ы). CoRR, (2021)2017 Robotic Instrument Segmentation Challenge., , , , , , , , , и 9 other автор(ы). CoRR, (2019)daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery., , , , и . IROS, стр. 2921-2928. IEEE, (2020)Vision-based and marker-less surgical tool detection and tracking: a review of the literature., , , и . Medical Image Anal., (2017)Deep Residual Learning for Instrument Segmentation in Robotic Surgery., , , , и . CoRR, (2017)Mask then classify: multi-instance segmentation for surgical instruments., , , , и . Int. J. Comput. Assist. Radiol. Surg., 16 (7): 1227-1236 (2021)Toward Detection and Localization of Instruments in Minimally Invasive Surgery., , , , , и . IEEE Trans. Biomed. Eng., 60 (4): 1050-1058 (2013)Non Rigid Registration of 3D Images to Laparoscopic Video for Image Guided Surgery., , , и . CARE@MICCAI, том 9515 из Lecture Notes in Computer Science, стр. 109-116. Springer, (2015)Deep Residual Learning for Instrument Segmentation in Robotic Surgery., , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 566-573. Springer, (2019)