most citedMaximising Coefficiency of Human-Robot Handovers through Reinforcement Learning

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eess.IV2021

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy

Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4

Purpose: Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma (UTUC). During ureteroscopy, the a…