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Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.

, , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1089-1095 (2019)

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Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation., , , , and . International Journal of Computer Vision, 87 (1-2): 156-169 (2010)Surgical data science - from concepts toward clinical translation., , , , , , , , , and 41 other author(s). Medical Image Anal., (2022)Implicit Visualization and Inverse Modeling of Growing Trees., , and . Comput. Graph. Forum, 23 (3): 351-360 (2004)Modeling lobed leaves., , , and . Computer Graphics International, page 60-67. IEEE Computer Society, (2003)Measuring human movement for biomechanical applications using markerless motion capture., , , , , and . Three-Dimensional Image Capture and Applications, volume 6056 of SPIE Proceedings, page 60560R. SPIE, (2006)Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1089-1095 (2019)Automatic Generation of a Subject-Specific Model for Accurate Markerless Motion Capture and Biomechanical Applications., , , and . IEEE Trans. Biomed. Engineering, 57 (4): 806-812 (2010)Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data., , , , , , , and . CoRR, (2018)Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated models., , and . CVPR, IEEE Computer Society, (2007)The use of positional information in the modeling of plants., , , and . SIGGRAPH, page 289-300. ACM, (2001)