29 citations · 40 across the 6 of their papers we have counts for
6 papers
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…
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
Ammar Hoori, Sadeer Al-Kindi, Tao Hu +8
Background. Coronary artery calcium (CAC) is a powerful predictor of major adverse cardiovascular events (MACE). Traditional Agatston score simply sums the calcium, albeit in a non…
Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA
Hao Wu, Yingnan Song, Ammar Hoori +10
Features of pericoronary adipose tissue (PCAT) assessed from coronary computed tomography angiography (CCTA) are associated with inflammation and cardiovascular risk. As PCAT is va…
Improved accuracy and reproducibility of coronary artery cal-cification features using deconvolution
Yingnan Song, Ammar Hoori, Hao Wu +7
Our long-range goal is to improve current whole-heart CT calcium score by extracting quantitative features from individual calcifications. We performed deconvolution to improve sma…