A long-standing problem at the frontier of biomechanical studies is to develop fast methods
capable of estimating material properties from clinical data. In this paper, we have studied …

The goal of this paper was to provide a real-time left ventricular (LV) mechanics simulator
using machine learning (ML). Finite element (FE) simulations were conducted for the LV with …

Determining the unknown material parameters of intact ventricular myocardium can be
challenging due to highly nonlinear material behavior. Previous studies combining a …

Identifying the constitutive parameters of soft materials often requires heterogeneous
mechanical test modes, such as simple shear. In turn, interpreting the resulting complex …

Identification of in vivo passive biomechanical properties of healthy human myocardium from
regular clinical data is essential for subject-specific modelling of left ventricle (LV). In this …

A central problem in biomechanical studies of personalized human left ventricular (LV)
modelling is to estimate material properties from in vivo clinical measurements. In this work …

Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical
in silico cardiac models offer a systematic approach for studying these multi-scale …

The passive material properties of myocardium play a major role in diastolic performance of
the heart. In particular, the shear behaviour is thought to play an important mechanical role …

A central problem in biomechanical studies of personalized human left ventricular modelling
is estimating the material properties and biophysical parameters from in vivo clinical …

In-vivo estimation of mechanical properties of the myocardium is essential for patient-
specific diagnosis and prognosis of cardiac disease involving myocardial remodeling …