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First Surgical Experience with a Learning Robot for Camera Guidance in Cognition-Guided Laparoscopic Surgery: a Phantom Study., , , , , , , and . CURAC, page 97-98. (2015)Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video., , , , , and . CoRR, (2019)Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery., , , , , , , , , and 10 other author(s). CoRR, (2018)Active learning using deep Bayesian networks for surgical workflow analysis., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1079-1087 (2019)Context-aware Augmented Reality in laparoscopic surgery., , , , , , , , , and 2 other author(s). Comp. Med. Imag. and Graph., 37 (2): 174-182 (2013)Robust feature tracking for endoscopic pose estimation and structure recovery., , , , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 867102. SPIE, (2013)3D surface reconstruction for laparoscopic computer-assisted interventions: comparison of state-of-the-art methods., , , , , , , , , and 6 other author(s). Medical Imaging: Image-Guided Procedures, volume 7964 of SPIE Proceedings, page 796415. SPIE, (2011)Strukturidentifikation mittels Superpixel in der Laparoskopie., , , , , , and . CURAC, page 149-154. (2015)Quantitative Laparoscopy for Bowel Length Measurement in Bariatric Surgery - a Translational Study., , , , , , and . CURAC, page 69-70. (2015)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (6): 925-933 (2018)