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A Multilayer-Multimodal Fusion Architecture for Pattern Recognition of Natural Manipulations in Percutaneous Coronary Interventions., , , , , , , , и . ICRA, стр. 3039-3045. IEEE, (2020)PCA-based muscle selection for interventional manipulation recognition., , , , и . ROBIO, стр. 921-926. IEEE, (2016)An RBF-based neuro-adaptive control scheme to drive a lower limb rehabilitation robot., , , , , , и . ROBIO, стр. 397-402. IEEE, (2015)Lumen segmentation and visualization of abdominal aorta using geodesic active contours for intravascular surgical simulation., , , , и . ROBIO, стр. 2356-2361. IEEE, (2014)Model-Based Robust Tracking Control Without Observers for Soft Bending Actuators., , , , , и . IEEE Robotics Autom. Lett., 6 (3): 5175-5182 (2021)DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation., , , , и . IEEE Trans. Instrum. Meas., (2023)Mesh optimization of vessel surface model for computer-aided simulation of percutaneous coronary intervention., , , , и . EMBC, стр. 6722-6727. IEEE, (2014)A Dynamic-Static Weighted Network with Diverse-Token Fusion Attention for Rhexis Margin Recognition in Microscopic Surgery., , , , , и . ROBIO, стр. 1-6. IEEE, (2023)An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools., , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 56-64. Springer, (2019)ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images., , , , и . Biomed. Signal Process. Control., 79 (Part): 104087 (2023)