Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images-Reference-Cited by-同舟云学术

Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images

Published:2016-10-07 Issue:5 Volume:33 Page:e2827
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Biomed. Engng.

Author:

Liang Liang¹²,Kong Fanwei¹,Martin Caitlin¹,Pham Thuy¹,Wang Qian¹,Duncan James²³⁴,Sun Wei¹

Affiliation:

1. Tissue Mechanics Laboratory The Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University; Atlanta Georgia USA

2. Department of Radiology and Biomedical Imaging; Yale University; New Haven Connecticut USA

3. Department of Biomedical Engineering; Yale University; New Haven Connecticut USA

4. Department of Electrical Engineering; Yale University; New Haven Connecticut USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

Reference46 articles.

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5. Simulation of transcatheter aortic valve implantation through patient-specific finite element analysis: two clinical cases;Morganti;J Biomech,2014

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