An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations.
about
Simulation based planning of surgical interventions in pediatric cardiologyComputational modeling and engineering in pediatric and congenital heart disease.Potential biomechanical roles of risk factors in the evolution of thrombus-laden abdominal aortic aneurysms.Computational model of the in vivo development of a tissue engineered vein from an implanted polymeric construct.Uncertainty quantification in virtual surgery hemodynamics predictions for single ventricle palliation.Computational simulation of the adaptive capacity of vein grafts in response to increased pressure.A hypothesis-driven parametric study of effects of polymeric scaffold properties on tissue engineered neovessel formation.Gradual loading ameliorates maladaptation in computational simulations of vein graft growth and remodelling.Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease.
P2860
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P2860
An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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name
An efficient framework for opt ...... h and remodeling computations.
@en
An efficient framework for opt ...... h and remodeling computations.
@nl
type
label
An efficient framework for opt ...... h and remodeling computations.
@en
An efficient framework for opt ...... h and remodeling computations.
@nl
prefLabel
An efficient framework for opt ...... h and remodeling computations.
@en
An efficient framework for opt ...... h and remodeling computations.
@nl
P2860
P1476
An efficient framework for opt ...... h and remodeling computations.
@en
P2093
Jay D Humphrey
Sethuraman Sankaran
P2860
P304
P356
10.1016/J.CMA.2012.12.013
P577
2013-04-01T00:00:00Z