2 citations · 3 across the 5 of their papers we have counts for
5 papers
Machine learning prediction of obstructive coronary artery disease using opportunistic coronary calcium and epicardial fat assessments from CT calcium scoring scans
Juhwan Lee, Ammar Hoori, Tao Hu +7
Non-contrast computed tomography calcium scoring (CTCS) is a cost-effective imaging modality widely used to detect coronary artery calcifications. This study aimed to develop an ad…
Quantitative coronary calcification analysis for prediction of myocardial ischemia using non-contrast CT calcium scoring
Juhwan Lee, Sadeer Al-Kindi, Ammar Hoori +6
Non-contrast computed tomography calcium scoring (CTCS) is widely recognized as an effective tool for cardiovascular risk stratification. This study aimed to develop a novel machin…
Coronary CTA and Quantitative Cardiac CT Perfusion (CCTP) in Coronary Artery Disease
Hao Wu, Yingnan Song, Ammar Hoori +10
We assessed the benefit of combining stress cardiac CT perfusion (CCTP) myocardial blood flow (MBF) with coronary CT angiography (CCTA) using our innovative CCTP software. By combi…
AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
Tao Hu, Joshua Freeze, Prerna Singh +8
Background: Recent studies have used basic epicardial adipose tissue (EAT) assessments (e.g., volume and mean HU) to predict risk of atherosclerosis-related, major adverse cardiova…
Pericoronary adipose tissue feature analysis in CT calcium score images with comparison to coronary CTA
Yingnan Song, Hao Wu, Juhwan Lee +10
We investigated the feasibility and advantages of using non-contrast CT calcium score (CTCS) images to assess pericoronary adipose tissue (PCAT) and its association with major adve…