4 citations · 4 across the 11 of their papers we have counts for
12 papers
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…
Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance
Qingyun Yang, Jon S. Heiselman, Ayberk Acar +5
With 890,000 annual new cases globally, head and neck squamous cell carcinoma has one of the highest recurrence rates among solid malignancies. Although frozen section analysis is…
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…
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…
Focus on the Experts: Co-designing an Augmented Reality Eye-Gaze Tracking System with Surgical Trainees to Improve Endoscopic Instruction
Jumanh Atoum, Jinkyung Park, Mamtaj Akter +3
The current apprenticeship model for surgical training requires a high level of supervision, which does not scale well to meet the growing need for more surgeons. Many endoscopic p…
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…
Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection
Qingyun Yang, Fangjie Li, Jiayi Xu +8
Head and neck squamous cell carcinoma (HNSCC) has one of the highest rates of recurrence cases among solid malignancies. Recurrence rates can be reduced by improving positive margi…
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…
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…