Model-based Automatic Segmentation Algorithm Accurately Assesses the Whole Cardiac Volumetric Parameters in Patients with Cardiac CT Angiography-Reference-Cited by-同舟云学术

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Model-based Automatic Segmentation Algorithm Accurately Assesses the Whole Cardiac Volumetric Parameters in Patients with Cardiac CT Angiography

Published:2014-05 Issue:5 Volume:21 Page:639-647
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Mao Song Shou,Li Dong,Vembar Mani,Gao Yanlin,Luo Yanting,Lam Franklin,Syed Younus Saleem,Liu Christine,Woo Kelly,Flores Fred,Budoff Matthew J.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference31 articles.

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2. The left atrium: a biomarker of chronic diastolic dysfunction and cardiovascular disease risk;Douglas;J Am Coll Cardiol,2003

3. Variables predictive of survival in patients with coronary disease. Selection by univariate and multivariate analyses from the clinical, electrocardiographic, exercise, arteriographic, and quantitative angiographic evaluations;Hammermeister;Circulation,1979

4. The relative effects of left ventricular hypertrophy, coronary artery disease, and ventricular dysfunction on survival among black adults;Liao;JAMA,1995

5. Right ventricular ejection fraction: an indicator of increased mortality in patients with congestive heart failure associated with coronary artery disease;Polak;J Am Coll Cardiol,1983

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