Article

Deep Learning to Estimate Cardiac Magnetic Resonance-Derived Left Ventricular Mass

2020-12-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Cardiac magnetic resonance (CMR) is the gold standard for left ventricular hypertrophy (LVH) diagnosis. CMR-derived LV mass can be estimated using proprietary algorithms (e.g., inlineVF), but their accuracy and availability may be limited. <h4>Objective</h4> To develop an open-source deep learning model to estimate CMR-derived LV mass. <h4>Methods</h4> Within participants of t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 51718b3e-7f8d-5dda-8701-481cc6f292d2
DOI: 10.1101/2020.12.18.20248364

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning to Estimate Cardiac Magnetic Resonance-Derived Left Ventricular MassDOI 10.1101/2020.12.18.20248364Read

Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular MassSemantic proximity Read

Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy.Semantic proximity Read

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac MechanicsSemantic proximity Read

Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learningSemantic proximity Read

Discovery of cardiac imaging biomarkers by training neural network models across diagnostic modalitiesSemantic proximity Read

An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHDSemantic proximity Read

Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning TechniquesSemantic proximity Read

Cardiac Magnetic Resonance Imaging in the German National Cohort: Automated Segmentation of Short-Axis Cine Images and Post-Processing Quality ControlSemantic proximity Read

Deep learning enhanced magnetocardiography enables multi-task detection of coronary, ventricular, and rhythm disordersSemantic proximity Read

Clinical and genetic associations of asymmetric apical and septal left ventricular hypertrophySemantic proximity Read

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.Semantic proximity Read

Multiethnic Validation of Artificial Intelligence-Enhanced Electrocardiographic Image Analysis in Detecting Cardiac Structural and Functional Abnormalities: A UK Biobank StudySemantic proximity Read