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Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis

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Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis, , , , , , , , and . (2017)cite arxiv:1702.03684.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)Surgical Data Science: A Consensus Perspective., , , , , , , , , and 18 other author(s). CoRR, (2018)Konstruktion einer Wissensbasis für die minimal invasive Pankreaschirurgie., , , , and . CURAC, volume 1476 of CEUR Workshop Proceedings, page 186. Verlag Univ Magdeburg, (2011)Context-aware Augmented Reality in laparoscopic surgery., , , , , , , , , and 2 other author(s). Comp. Med. Imag. and Graph., 37 (2): 174-182 (2013)Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery.. Karlsruhe Institute of Technology, Germany, (2016)Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data?, , , and . ML4CPS, page 58-65. Springer, (2018)Lightweight distributed computing for intraoperative real-time image guidance., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 83162I. SPIE, (2012)Surgical Data Science: Enabling Next-Generation Surgery., , , , , , , , , and 15 other author(s). CoRR, (2017)What does it all mean? Capturing Semantics of Surgical Data and Algorithms with Ontologies., , , , , , , , , and 2 other author(s). CoRR, (2017)