1 citations · 1 across the 6 of their papers we have counts for
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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…
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…
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…
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…
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…
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM
Mykhailo Shvets, Dongxu Zhao, Marc Niethammer +2
Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view are inherently limited, while multiple v…