4 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
John J. Han, Ayberk Acar, Nicholas Kavoussi +1
Style transfer is a promising approach to close the sim-to-real gap in medical endoscopy. Rendering synthetic endoscopic videos by traversing pre-operative scans (such as MRI or CT…
Segmentation of kidney stones in endoscopic video feeds
Zachary A Stoebner, Daiwei Lu, Seok Hee Hong +2
Image segmentation has been increasingly applied in medical settings as recent developments have skyrocketed the potential applications of deep learning. Urology, specifically, is…