Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach
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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 ... ...
