Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …

Cardiac magnetic resonance (CMR) imaging is a valuable modality in the diagnosis and
characterization of cardiovascular diseases, since it can identify abnormalities in structure …

We propose a framework for the nonlinear spatiotemporal registration of 4D time-series of
images based on the Diffeomorphic Demons (DD) algorithm. In this framework, the 4D …

Potential benefits of precision medicine in cardiovascular disease (CVD) include more
accurate phenotyping of individual patients with the same condition or presentation, using …

Mechanistic cardiac electrophysiology models allow for personalized simulations of the
electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface …

The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for
clinical trials and digital twins of the human heart have recently been proposed as a viable …

Electrocardiographic imaging (ECGI) reconstructs the electrical activity of the heart from a
dense array of body-surface electrocardiograms and a patient-specific heart-torso geometry …

Human cardiac function is characterized by a complex interplay of mechanical deformation
and electrophysiological conduction. Similar to the underlying cardiac anatomy, these …

The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural
networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer …

BACKGROUND: Measurements of parameters from electrocardiograms (ECGs) are still
largely performed from paper ECG records. Recent guidelines from regulatory agencies …