390 citations
- Case Western Reserve UniversityUS5 papers
- New York UniversityUS2 papers
- Vanderbilt University Medical CenterUS2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Asan Medical CenterKR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baylor College of MedicineUS1 paper
- Brigham and Women's HospitalUS1 paper
- Cairo UniversityEG1 paper
- Case Comprehensive Cancer Center1 paper
5 papers
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…
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…
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
Nathaniel Braman, Prateek Prasanna, Kaustav Bera +14
Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in…
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…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…