3 papers
eess.IV2026
Automated Assessment of Kidney Ureteroscopy Exploration for Training
Fangjie Li, Nicholas Kavoussi, Charan Mohan +2
Purpose: Kidney ureteroscopic navigation is challenging with a steep learning curve. However, current clinical training has major deficiencies, as it requires one-on-one feedback f…
cs.CV2025
Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video
Hao Li, Daiwei Lu, Xing Yao +2
In this paper, we present Endo-SemiS, a semi-supervised segmentation framework for providing reliable segmentation of endoscopic video frames with limited annotation. EndoSemiS use…
cs.HC2025
NAVIUS: Navigated Augmented Reality Visualization for Ureteroscopic Surgery
Ayberk Acar, Jumanh Atoum, Peter S. Connor +4
Ureteroscopy is the standard of care for diagnosing and treating kidney stones and tumors. However, current ureteroscopes have a limited field of view, requiring significant experi…