3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
ARIADNE: A Perception-Reasoning Synergy Framework for Trustworthy Coronary Angiography Analysis
Zhan Jin, Yu Luo, Yizhou Zhang +5
Conventional pixel-wise loss functions fail to enforce topological constraints in coronary vessel segmentation, producing fragmented vascular trees despite high pixel-level accurac…
eess.IV2024★ 3 cited
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images
Baixiang Huang, Yu Luo, Guangyu Wei +3
Coronary artery disease (CAD) is a leading cause of cardiovascular-related mortality, and accurate stenosis detection is crucial for effective clinical decision-making. Coronary an…