Inverse modeling approaches in cardiovascular medicine are a collection of methodologies
that can provide non-invasive patient-specific estimations of tissue properties, mechanical …

Myocardial infarction (MI) is a leading cause of premature morbidity and mortality worldwide.
Determining which patients will experience heart failure and sudden cardiac death after an …

Modern computational soft-tissue mechanics models have the potential to offer unique,
patient-specific diagnostic insights. The deployment of such models in clinical settings has …

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 …

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

Abstract Recent progress in Graph Neural Networks (GNNs) has allowed the creation of new
methods for surrogate modelling, or emulation, of complex physical systems to a high level …

In this investigation, an image-based method has been developed to estimate the volume of
the left ventricular cavity using cardiac magnetic resonance (CMR) imaging data. Deep …

Constitutive laws that describe the mechanical responses of cardiac tissue under loading
hold the key to accurately model the biomechanical behaviour of the heart. There have been …

Purine nucleotides play central roles in energy metabolism in the heart. Most fundamentally,
the free energy of hydrolysis of the adenine nucleotide adenosine triphosphate (ATP) …

Myofibre architecture is one of the essential components when constructing personalized
cardiac models. In this study, we develop a neonatal porcine bi-ventricle model with three …