4 citations · 4 across the 11 of their papers we have counts for
6 papers · 1 filter
RAUL: Reference-Assisted Ureteroscopy Localization for Skill Assessment
Fangjie Li, Mai Bui, Charan Mohan +4
Objective: Incomplete navigation of anatomy during ureteroscopic kidney stone surgeries can contribute to repeat interventions. While skilled surgeons have lower reintervention rat…
Toward surface-based registration of a virtual preoperative cutting guide onto the mandible for reconstruction surgery
Yue Yang, Jie Ying Wu
Mandibular reconstruction restores facial continuity and oral function after segmental resection. Patient-specific cutting guides transfer a computed tomography (CT)-based plan to…
Marker-free deformable registration and fusion for augmented reality-guided positive margin localization during tumor resection surgery
Yue Yang, Annie Benson, Matthieu Chabanas +7
Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify…
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
Hao Li, Daiwei Lu, Jesse d'Almeida +8
Monocular depth estimation (MDE) is a critical task to guide autonomous medical robots. However, obtaining absolute (metric) depth from an endoscopy camera in surgical scenes is di…
Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Study
Yue Yang, Fabian Necker, Christoph Leuze +8
Purpose: In this paper, we develop and clinically evaluate a depth-only, markerless augmented reality (AR) registration pipeline on a head-mounted display, and assess accuracy acro…
Depth Anything in Medical Images: A Comparative Study
John J. Han, Ayberk Acar, Callahan Henry +1
Monocular depth estimation (MDE) is a critical component of many medical tracking and mapping algorithms, particularly from endoscopic or laparoscopic video. However, because groun…