Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram
- 18 June 2020
- journal article
- research article
- Published by Elsevier in Journal of Nuclear Cardiology
- Vol. 29 (1) , 262-274
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Status of Cardiovascular Health in US AdolescentsCirculation, 2013
- Outcomes After Coronary Computed Tomography Angiography in the Emergency DepartmentJACC, 2013
- Noninvasive Diagnosis of Ischemia-Causing Coronary Stenosis Using CT AngiographyJACC: Cardiovascular Imaging, 2012
- CorrectionJACC, 2012
- Coronary CT angiographic characteristics of culprit lesions in acute coronary syndromes not related to plaque rupture as defined by optical coherence tomography and angioscopyEuropean Heart Journal, 2011
- Comprehensive Assessment of Coronary Artery StenosesJACC, 2008
- Cardiac Image Fusion from Stand-Alone SPECT and CT: Clinical ExperienceJournal of Nuclear Medicine, 2007
- A Caution Regarding Rules of Thumb for Variance Inflation FactorsQuality & Quantity, 2007
- Relationship Between Noninvasive Coronary Angiography With Multi-Slice Computed Tomography and Myocardial Perfusion ImagingJACC, 2006
- A more meaningful scoring system for determining the severity of coronary heart diseaseThe American Journal of Cardiology, 1983