Automated tuning for parameter identification and uncertainty quantification in multi-scale coronary simulations-Reference-Cited by-同舟云学术

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Automated tuning for parameter identification and uncertainty quantification in multi-scale coronary simulations

Published:2017-01 Issue: Volume:142 Page:128-138
ISSN:0045-7930
Container-title:Computers & Fluids
language:en
Short-container-title:Computers & Fluids

Author:

Tran Justin S.,Schiavazzi Daniele E.,Ramachandra Abhay B.,Kahn Andrew M.,Marsden Alison L.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference47 articles.

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3. Identification of hemodynamically optimal coronary stent designs based on vessel caliber;Gundert;Biomed Eng IEEE Trans,2012

4. Thrombotic risk stratification using computational modeling in patients with coronary artery aneurysms following kawasaki disease;Sengupta;Biomech Model Mechanobiol,2014

5. Image-based modeling of hemodynamics in coronary artery aneurysms caused by kawasaki disease;Sengupta;Biomech Model Mechanobiol,2012

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