Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …

Background Artificial intelligence (AI) technology has been increasingly developed and
studied in cardiac imaging. This systematic review summarizes the latest progress of image …

Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the
risk of major adverse cardiac events. As manual quantification of EAT is time-consuming …

Epicardial adipose tissue (EAT) significantly contributes to the progression of cardiovascular
diseases (CVDs). However, manually quantifying EAT volume is labor-intensive and …

Background The prognostic significance of non‐cancer‐related prognostic factors, such as
body composition, has gained extensive attention in oncological research. Compared with …

Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …

Purpose The aim of our work was to systematically review and meta-analyze epicardial
adipose tissue (EAT) density values reported in literature, assessing potential correlations of …

Epicardial fat (ECF) is localized fat surrounding the heart muscle or myocardium and
enclosed by the thin-layer pericardium membrane. Segmenting the ECF is one of the most …

Personalized, image‐based computational heart modelling is a powerful technology that
can be used to improve patient‐specific arrhythmia risk stratification and ventricular …

Background Many cardiovascular diseases are closely related to the composition of
epicardial adipose tissue (EAT). Accurate segmentation of EAT can provide a reliable …