scispace - formally typeset
S

Shvydkoy, Roman

Publications -  9
Citations -  72

Shvydkoy, Roman is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 9 publications receiving 72 citations. Previous affiliations of Shvydkoy, Roman include Medical University of South Carolina.

Papers
More filters
Journal ArticleDOI

Coronary Computed Tomography Angiography-Based Calcium Scoring

TL;DR: In this paper , the authors evaluated coronary computed tomography angiography (CCTA)-based in vitro and in vivo coronary artery calcium scoring (CACS) using a novel virtual noniodine reconstruction (PureCalcium) on a clinical first-generation photon-counting detector-computed tomography system compared with virtual noncontrast (VNC) reconstructions and true non-Contrast (TNC) acquisitions.
Journal ArticleDOI

Reduced Iodinated Contrast Media Administration in Coronary CT Angiography on a Clinical Photon-Counting Detector CT System

TL;DR: In this paper , the authors evaluated strategies to reduce contrast media volumes for coronary computed tomography (CT) angiography on a clinical first-generation dual-source photon-counting detector (PCD)-CT system using a dynamic circulation phantom.
Journal ArticleDOI

Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT.

TL;DR: In this paper, the authors evaluated the impact of artificial intelligence (AI) on clinical radiology reports in evaluating non-contrast chest computed tomography (CT) scans and found that the results demonstrate that incorporating AI support platforms into radiology workflows can provide significant added value to clinical radiiology reporting.
Journal ArticleDOI

Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT

TL;DR: In this article , the authors evaluated the impact of artificial intelligence (AI) on clinical radiology reports in evaluating non-contrast chest computed tomography (CT) scans and concluded that using AI in radiology workflows can provide significant added value.
Journal ArticleDOI

Automated Dual-energy Computed Tomography-based Extracellular Volume Estimation for Myocardial Characterization in Patients With Ischemic and Nonischemic Cardiomyopathy

TL;DR: In this paper , a prototype algorithm for automated dual-energy computed tomography (DECT)-based myocardial extracellular volume (ECV) assessment in patients with various cardiomyopathies is presented.