Background Cardiovascular magnetic resonance (CMR) is the test of choice for diagnosis
and risk stratification of myocardial inflammation in acute viral myocarditis. The objective of …

Heart failure (HF) is the terminal stage of multiple cardiovascular diseases. However, the
pathogenesis of HF remains unclear and prompt; appropriate diagnosis and treatment of HF …

Objective To explore the clinical application value of the imaging model of carotid artery
stenosis occlusion based on machine learning. Methods A comprehensive analysis was …

Objectives We sought to distinguish area at risk from salvage myocardial zone and to predict
left ventricle functional recovery in the convalescent stage by Texture Analysis (TA) of T2 …

Objective: To develop enhanced Cine images-based radiomics models for non-invasive
prediction of left ventricular adverse remodeling following Transcatheter Aortic Valve …

Background: Extracellular volume fraction (ECV), measured with contrast-enhanced
magnetic resonance imaging (CE-MRI), has been utilized to study myocardial fibrosis, but its …

Zusammenfassung Klinisches/methodisches Problem Kardiale Erkrankungen sind weltweit
die führende Todesursache. Viele Erkrankungen können gezielt behandelt werden, sobald …

As an innovative imaging processing mode, radiomics can extract microscopic information
from images for quantitative analysis. The selected features and machine learning model …

Radiomics is one of the 'buzz words' in current imaging praxis, and the number of radiomics
studies published in the scientific literature is steadily increasing. The rise of novel …

Cardiac diseases manifest in a multitude of interconnected changes in morphology and
dynamics. Radiomics approaches are a promising technique to analyze such changes …