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Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach
The patient-specific biomechanical analysis of the aorta requires the quantification of the in vivo mechanical properties of individual patients. Current inverse approaches have attempted to estimate the nonlinear, anisotropic material parameters from in vivo image data using certain optimization sc...
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| Publicado no: | Comput Methods Appl Mech Eng |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6544444/ https://ncbi.nlm.nih.gov/pubmed/31160830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cma.2018.12.030 |
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