Comparison of Computational Fluid Dynamics and Machine Learning-Based Fractional Flow Reserve in Coronary Artery Disease.

Circulation. Cardiovascular imaging ·Vol. 11 ·No. 6 ·2018-00-00 ·页码 e007950

Yeri A, Shah RV

Abstract

暂无摘要

Keywords

Editorials angiography computed tomography angiography heart humans

MeSH 主题词

Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Fractional Flow Reserve, Myocardial Humans Hydrodynamics Machine Learning

作者与单位

共 2 位作者，点击展开单位 / ORCID

Yeri Ashish

Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. [email protected].

Shah Ravi V

Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.

Article Info

Journal

Circulation. Cardiovascular imaging

Abbr.

Circ Cardiovasc Imaging

ISSN

1942-0080

DOI

10.1161/CIRCIMAGING.118.007950

Corresponding email

[email protected]

Published

2018-00-00

页码

e007950

Language

English

Country/Region

United States

NLM ID

101479935

勘误 / 撤稿关联

CommentOn

PMID: 29914866

External Links

PubMed source DOI: 10.1161/CIRCIMAGING.118.007950 View journal details

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Comparison of Computational Fluid Dynamics and Machine Learning-Based Fractional Flow Reserve in Coronary Artery Disease.

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