Deep learning (DL) has been applied to glioblastoma (GBM) magnetic resonance imaging
(MRI) assessment for tumor segmentation and inference of molecular, diagnostic, and …

Non-ischemic cardiomyopathy (NICM) is one of the most important entities for arrhythmias
and sudden cardiac death (SCD). Previous studies suggest a lower benefit of implantable …

Background Sudden cardiac death (SCD) is one of the leading causes of death in
individuals with nonischemic dilated cardiomyopathy (DCM). However, the risk stratification …

Hypertrophic cardiomyopathy (HCM) is associated with risk of sudden cardiac death (SCD)
due to ventricular arrhythmias (VAs) arising from the proliferation of fibrosis in the heart …

Background Cardiac magnetic resonance native T1-mapping provides noninvasive,
quantitative, and contrast-free myocardial characterization. However, its predictive value in …

The current stratification of arrhythmic risk in dilated cardiomyopathy (DCM) is sub-optimal.
Cardiac fibrosis is involved in the pathology of arrhythmias; however, the relationship …

Objectives The goal of this study was to characterize the relationship between DF, the
electroanatomic mapping (EAM) substrate, and outcomes of catheter ablation of VT in NICM …

Alteration in myocardial tissue, such as myocardial fibrosis, edema, inflammation, or
accumulation with amyloid, lipids, or iron, has an important role in the cardiac remodeling …

Objectives This study sought to determine whether myocardial tissue heterogeneity scanned
by native T1 mapping could improve risk stratification in patients with nonischemic dilated …

Objective This study aimed to develop and validate models using radiomics features on a
native T1 map from cardiac magnetic resonance (CMR) to predict left ventricular reverse …