Computational Method for Identifying and Quantifying Shape Features of Human Left Ventricular Remodeling-Reference-Cited by-同舟云学术

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Computational Method for Identifying and Quantifying Shape Features of Human Left Ventricular Remodeling

Published:2009-03-26 Issue:6 Volume:37 Page:1043-1054
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Ardekani Siamak,Weiss Robert G.,Lardo Albert C.,George Richard T.,Lima Joao A. C.,Wu Katherine C.,Miller Michael I.,Winslow Raimond L.,Younes Laurent

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-009-9677-2.pdf

Reference25 articles.

1. Anderson, T. (1958) An Introduction to Multivariate Statistical Analysis. New York: Wiley.

2. Beg, M. F., M. I. Miller, A. Trouv’e and L. B. Younes (2005) Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. International Journal of Computer Vision 61:139-157. doi: 10.1023/B:VISI.0000043755.93987.aa

3. Douglas, P. S., R. Morrow, A. Ioli and N. Reichek 1989 Left ventricular shape, afterload and survival in idiopathic dilated cardiomyopathy. J Am Coll Cardiol 13:311-315.

4. Eichhorn, E. J. and M. R. Bristow 1996 Medical therapy can improve the biological properties of the chronically failing heart. A new era in the treatment of heart failure. Circulation 94:2285-2296.

5. Felker, G. M., L. K. Shaw and C. M. O’Connor 2002 A standardized definition of ischemic cardiomyopathy for use in clinical research. J Am Coll Cardiol 39:210-218. doi: 10.1016/S0735-1097(01)01738-7

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4. Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling;Medical Image Computing and Computer Assisted Intervention – MICCAI 2018;2018

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