Clinical utility of automated assessment of left ventricular ejection fraction using artificial intelligence–assisted border detection-Reference-Cited by-同舟云学术

Clinical utility of automated assessment of left ventricular ejection fraction using artificial intelligence–assisted border detection

Published:2008-03 Issue:3 Volume:155 Page:562-570
ISSN:0002-8703
Container-title:American Heart Journal
language:en
Short-container-title:American Heart Journal

Author:

Rahmouni Hind W.,Ky Bonnie,Plappert Ted,Duffy Kevin,Wiegers Susan E.,Ferrari Victor A.,Keane Martin G.,Kirkpatrick James N.,Silvestry Frank E.,St. John Sutton Martin

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference18 articles.

1. Comparison of echocardiographic acoustic quantification system and radionuclide ventriculography for estimating left ventricular ejection fraction: validation in patients without regional wall motion abnormalities;Chandra;Am Heart J,1997

2. Comparison of left ventricular function by echocardiographic automated border detection and by radionuclide ejection fraction;Gorcsan;Am J Cardiol,1993

3. Quantification of left ventricular function with an automated border detection system and comparison with radionuclide ventriculography;Lindower;Am J Cardiol,1994

4. Segmental analysis of color kinesis images: new method for quantification of the magnitude and timing of endocardial motion during left ventricular systole and diastole;Mor-Avi;Circulation,1997

5. Automated assessment of ventricular volume and function by echocardiography: validation of automated border detection;Morrissey;J Am Soc Echocardiogr,1994

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