Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
2016 · European Heart Journal · 700 citations
https://doi.org/10.1093/eurheartj/ehw188
F
Fay Y. Lin
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Fay Y. Lin is an academic researcher from Cornell University. The author has contributed to research in topics: Cardiac Imaging and Diagnostics & Coronary Interventions and Diagnostics & Advanced X-ray and CT Imaging. The author has an h-index of 62, co-authored 332 publications.
ORCID: 0000-0001-8604-8715Papers by this author
worksSelective Referral Using CCTA Versus Direct Referral for Individuals Referred to Invasive Coronary Angiography for Suspected CAD
2018 · JACC. Cardiovascular imaging · 152 citations
https://doi.org/10.1016/j.jcmg.2018.09.018
Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry
2020 · Cardiovascular Diabetology · 67 citations
https://doi.org/10.1186/s12933-020-01081-w
A Clinical Model to Identify Patients With High-Risk Coronary Artery Disease
2015 · JACC. Cardiovascular imaging · 32 citations
https://doi.org/10.1016/j.jcmg.2014.11.015
Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve
2017 · Atherosclerosis · 30 citations
https://doi.org/10.1016/j.atherosclerosis.2017.01.018
Rationale and Design of the CREDENCE Trial: computed TomogRaphic evaluation of atherosclerotic DEtermiNants of myocardial IsChEmia
2016 · BMC Cardiovascular Disorders · 29 citations
https://doi.org/10.1186/s12872-016-0360-x
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