49 citations · 96 across the 6 of their papers we have counts for
7 papers
MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography
Lin Xi, Yingliang Ma
Accurate segmentation of coronary arteries in X-ray angiography videos is essential for quantitative coronary analysis and image-guided interventions. However, accurate segmentatio…
3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Ethan Koland, Lin Xi, Nadeev Wijesuriya +1
X-ray angiography is widely used in cardiac interventions to visualize coronary vessels, assess integrity, detect stenoses and guide treatment. We propose a framework for reconstru…
Weighted Combination and Singular Spectrum Analysis Based Remote Photoplethysmography Pulse Extraction in Low-light Environments
Lin Xi, Xingming Wu, Weihai Chen +2
Camera-based vital signs monitoring in recent years has attracted more and more researchers and the results are promising. However, a few research works focus on heart rate extract…
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning
Lin Xi, Yingliang Ma, Ethan Koland +3
Automated detection and segmentation of surgical devices, such as catheters or wires, in X-ray fluoroscopic images have the potential to enhance image guidance in minimally invasiv…
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi, Weihai Chen, Xingming Wu +2
Online unsupervised video object segmentation (UVOS) uses the previous frames as its input to automatically separate the primary object(s) from a streaming video without using any…
Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
Lin Xi, Weihai Chen, Changchen Zhao +2
With the improvement of sensor technology and significant algorithmic advances, the accuracy of remote heart rate monitoring technology has been significantly improved. Despite of…
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
Lin Xi, Weihai Chen, Xingming Wu +2
Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence. Existing UVOS methods eithe…