activity
20202026
most citedAGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

22 citations · 38 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Point Cloud Registration for Fusion between SPECT MPI and CTA Images

Ni Yao, Xiangyu Liu, Shaojie Tang +9

Clinical fusion of Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT MPI) and Computed Tomography Angiography (CTA) remains limited by cross-modality m…

cs.CV2025

SFD-Mamba2Net: Structure-Guided Frequency-Enhanced Dual-Stream Mamba2 Network for Coronary Artery Segmentation

Nan Mu, Ruiqi Song, Zhihui Xu +2

Background: Coronary Artery Disease (CAD) is one of the leading causes of death worldwide. Invasive Coronary Angiography (ICA), regarded as the gold standard for CAD diagnosis, nec…

eess.IV2025

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography

Nan Mu, Ruiqi Song, Xiaoning Li +3

Background: Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide. Precise segmentation of coronary arteries from invasive coronary angiography (IC…

eess.IV2024★ 1 cited

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

Shaojie Tang, Penpen Miao, Xingyu Gao +10

A method was proposed for the point cloud-based registration and image fusion between cardiac single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) a…

cs.CV2024

Multi-graph Graph Matching for Coronary Artery Semantic Labeling

Chen Zhao, Zhihui Xu, Pukar Baral +2

Coronary artery disease (CAD) stands as the leading cause of death worldwide, and invasive coronary angiography (ICA) remains the gold standard for assessing vascular anatomical in…

cs.CV2023★ 1 cited

Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling

Chen Zhao, Michele Esposito, Zhihui Xu +1

Coronary artery disease (CAD) is one of the primary causes leading to death worldwide. Accurate extraction of individual arterial branches on invasive coronary angiograms (ICA) is…

cs.CV2023★ 14 cited

Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network

Chen Zhao, Zhihui Xu, Guang-Uei Hung +1

Coronary artery disease (CAD) is one of the primary causes leading deaths worldwide. The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiologic…

cs.CV2023★ 22 cited

AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

Chen Zhao, Zhihui Xu, Jingfeng Jiang +4

Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in th…

eess.IV2021

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos

Yinghui Meng, Minghao Dong, Xumin Dai +8

Automatic identification of proper image frames at the end-diastolic (ED) and end-systolic (ES) frames during the review of invasive coronary angiograms (ICA) is important to asses…

physics.med-ph2020

3D Fusion between Fluoroscopy Angiograms and SPECT Myocardial Perfusion Images to Guide Percutaneous Coronary Intervention

Haipeng Tang, Robert R. Bober, Chen Zhao +5

Background. Percutaneous coronary intervention(PCI) in stable coronary artery disease(CAD) is commonly triggered by abnormal myocardial perfusion imaging(MPI). However, due to the…