The cardiac physiome model has been proven to be useful for cardiac simulation, and has
been more recently utilized to medical image analysis. To perform individualized analysis …

Computational models of cardiac electromechanics (EM) are increasingly being applied to
clinical problems, with patient-specific models being generated from high fidelity imaging …

Computational cardiac physiology has great potential to improve the management of
cardiovascular diseases. One of the main bottlenecks in this field is the customization of the …

An element‐free Galerkin method (EFGM) is proposed to simulate the propagation of
myocardial electrical activation without explicit mesh constraints using a monodomain …

The prominent advantage of meshfree method, is the way to build the representation of
computational domain, based on the nodal points without any explicit meshing connectivity …

We present the meshfree mixed collocation method (MCM) for cardiac electrophysiology
simulation. Capitalizing on the meshfree property of MCM, we introduce an immersed grid …

This application paper presents details of the technique we developed to produce an
adaptive and quality tetrahedral finite element mesh model of a human heart. Beginning …

Significant advancements in imaging technology and the dramatic increase in computer
power over the last few years broke the ground for the construction of anatomically realistic …

In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …

For medical image analysis issues where the domain mappings between images involve
large geometrical shape changes, such as the cases of nonrigid motion recovery and inter …