Pages that link to "Item:Q525442"

The following pages link to Parameter estimation in a Holzapfel-Ogden law for healthy myocardium (Q525442):

Displaying 15 items.

• Concentration estimation via curve fitting: quantification of negative inotropic agents by using a simple mathematical method in guinea pig atria (Q253655) (← links)
• Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach (Q1987805) (← links)
• Model-based quantification of left ventricular diastolic function in critically ill patients with atrial fibrillation from routine data: a feasibility study (Q2003713) (← links)
• Constitutive modelling of soft biological tissue from ex vivo to in vivo: myocardium as an example (Q2088492) (← links)
• Effects of dispersed fibres in myocardial mechanics. I: passive response (Q2130474) (← links)
• Effects of dispersed fibres in myocardial mechanics. II: active response (Q2130485) (← links)
• Image-based modelling and numerical simulations of the Cardioband\(^\circledR\) procedure for mitral valve regurgitation repair (Q2136770) (← links)
• Comparative analysis of nonlinear viscoelastic models across common biomechanical experiments (Q2231098) (← links)
• Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration (Q2671382) (← links)
• Estimation of left ventricular parameters based on deep learning method (Q2686802) (← links)
• In-vivo strain and stress estimation of the left ventricle from MRI images (Q4440270) (← links)
• Parameter estimation for a phenomenological model of the cardiac action potential (Q4638524) (← links)
• Exact simulation for direction-dependent large elastic strain responses of soft fibre-reinforced composites (Q6062777) (← links)
• Automated model discovery for human cardiac tissue: discovering the best model and parameters (Q6566049) (← links)
• An optimization framework to personalize passive cardiac mechanics (Q6641941) (← links)