Aims Electrocardiographic imaging (ECGI) is a promising tool to map the electrical activity of
the heart non-invasively using body surface potentials (BSP). However, it is still challenging …

The short-axis view defined such that a series of slices are perpendicular to the long-axis of
the left ventricle (LV) is one of the most important views in cardiovascular imaging. Raw …

Deep learning-based medical image segmentation and surface mesh generation typically
involve a sequential pipeline from image to segmentation to meshes, often requiring large …

The aim of this study is to create an automatic framework for sustained ventricular arrhythmia
(VA) prediction using cardiac computed tomography (CT) images. We built an image …

In this work we present a coupled electromechanical model of the heart for patient-specific
simulations, and in particular cardiac resynchronisation therapy. To this end, we propose a …

Abstract Background and objectives: Dynamic Magnetic Resonance Imaging (MRI) may
capture temporal anatomical changes in soft tissue organs with high-contrast but the …

Many uncertainties remain about the relation between post-infarct scars and ventricular
arrhythmia. Most post-infarct patients suffer scar-related arrhythmia several years after the …

Abstract Aims Electrocardiographic Imaging (ECGI) is a promising tool to map the electrical
activity of the heart non-invasively using body surface potentials (BSP). However, it is still …