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Recognizing Surgical Activities with Recurrent Neural Networks.

, , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 551-558. (2016)

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Revisiting NARX Recurrent Neural Networks for Long-Term Dependencies., , and . CoRR, (2017)Unsupervised Learning for Surgical Motion by Learning to Predict the Future., and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 281-288. Springer, (2018)Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches., , and . IEEE Signal Process. Mag., 31 (4): 120-141 (2014)Recognizing Surgical Activities with Recurrent Neural Networks., , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 551-558. (2016)Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies., , , and . ICLR (Workshop), OpenReview.net, (2018)Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (11): 2005-2020 (2019)Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization., , , , and . ICCV, page 5525-5533. IEEE Computer Society, (2017)Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses., , , and . ICCV, page 3611-3620. IEEE Computer Society, (2017)Automated Surgical Activity Recognition with One Labeled Sequence., and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 458-466. Springer, (2019)