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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)Gesture Recognition in Robotic Surgery With Multimodal Attention., , , , , , , , and . IEEE Trans. Medical Imaging, 41 (7): 1677-1687 (2022)Metrics Matter in Surgical Phase Recognition., , and . CoRR, (2023)On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis., , and . CoRR, (2022)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)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)Interactive health insight miner: an adaptive, semantic-based approach., , and . INLG, page 478-479. Association for Computational Linguistics, (2018)Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video., , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 467-475. Springer, (2019)TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition., , , and . CoRR, (2023)