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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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Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video., , , , , and . CoRR, (2019)Active learning using deep Bayesian networks for surgical workflow analysis., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1079-1087 (2019)Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1089-1095 (2019)Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks., , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (7): 1147-1155 (2019)Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data., , , , , , , and . CoRR, (2018)Video-based surgical skill assessment using 3D convolutional neural networks., , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (7): 1217-1225 (2019)Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation., , , , , , , , , and 5 other author(s). MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 119-127. Springer, (2019)Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis., , , , , , and . CoRR, (2018)Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis., , , , , and . OR 2.0/CARE/CLIP/ISIC@MICCAI, volume 11041 of Lecture Notes in Computer Science, page 85-93. Springer, (2018)Generative adversarial networks for specular highlight removal in endoscopic images., , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057604. SPIE, (2018)