activity
20242026
collaborators

5 papers

cs.CV2026

Understanding Model Behavior in Monocular Polyp Sizing

Xinqi Xiong, Andrea Dunn Beltran, Junmyeong Choi +3

Accurate polyp size stratification guides surveillance decisions, with lesions larger than 5 mm typically requiring closer follow-up. However, monocular colonoscopy lacks a reliabl…

cs.CV2026

Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy

Andrea Dunn Beltran, Daniel Rho, Aarav Mehta +5

Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that…

cs.CV2026

NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting

Andrea Dunn Beltran, Daniel Rho, Marc Niethammer +1

Simultaneous Localization and Mapping (SLAM) systems typically assume static, distant illumination; however, many real-world scenarios, such as endoscopy, subterranean robotics, an…

cs.CV2025

PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation

Xinqi Xiong, Andrea Dunn Beltran, Jun Myeong Choi +2

Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-truth depth in clinical settings is challenging. Synthetic datasets are often used for…

cs.CV2024

Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos

Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang +4

Monocular depth estimation in endoscopy videos can enable assistive and robotic surgery to obtain better coverage of the organ and detection of various health issues. Despite promi…