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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.

, , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (9): 1611-1617 (2019)

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Jonathan Weber

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Jonathan Roericht

 

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Smooth Perturbations for Time Series Adversarial Attacks., , , , , , , , , и . PAKDD (1), том 13280 из Lecture Notes in Computer Science, стр. 485-496. Springer, (2022)Real-Time Detection of Glomeruli in Renal Pathology., , , , , , и . CBMS, стр. 350-355. IEEE, (2020)Data Augmentation for Time Series Classification with Deep Learning Models., , , , и . AALTD@ECML/PKDD, том 13812 из Lecture Notes in Computer Science, стр. 117-132. Springer, (2022)Interactive video segmentation based on quasi-flat zones., , и . ISPA, стр. 265-270. IEEE, (2011)Adversarial Attacks on Deep Neural Networks for Time Series Classification., , , , и . IJCNN, стр. 1-8. IEEE, (2019)InceptionTime: Finding AlexNet for time series classification., , , , , , , , , и . Data Min. Knowl. Discov., 34 (6): 1936-1962 (2020)Deep learning for time series classification: a review, , , , и . Data Mining and Knowledge Discovery, 33 (4): 917--963 (01.07.2019)Automatic Alignment of Surgical Videos Using Kinematic Data., , , , , и . AIME, том 11526 из Lecture Notes in Computer Science, стр. 104-113. Springer, (2019)End-to-end deep representation learning for time series clustering: a comparative study., , , и . Data Min. Knowl. Discov., 36 (1): 29-81 (2022)Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation., , , , , , , и . Artif. Intell. Medicine, (2022)