Article

Deep learning enables fully automated cineCT-based assessment of regional right ventricular function

2025-09-30

Abstract excerpt

<h4>Background</h4> Right ventricular (RV) function is a key factor in the diagnosis and prognosis of heart disease. However, current advanced CT-based assessments rely on semi-automated segmentation of the RV blood pool and manual delineation of the RV free and septal wall boundaries. Both of these steps are time-consuming and prone to inter- and intra-observer variability. <h4>Methods</h4> We developed and eva...

Topics

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

Identifiers and source

Literature Corpus work: 61ec5416-78a4-5dd1-95c2-c0f81fdcec5b
DOI: 10.1101/2025.09.29.25336897

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep learning enables fully automated cineCT-based assessment of regional right ventricular functionDOI 10.1101/2025.09.29.25336897Read

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

Development and multi-dataset evaluation of a unified single-view deep-learning model for the right heart: four-chamber segmentation, biventricular ejection fraction, deformation, and pulmonary-hypertension prediction from the apical four-chamber echocardiogramSemantic proximity Read

3D regional evaluation of right ventricular myocardial work from cineCTSemantic proximity Read

Fully automated 4D cardiac modelling from 2D echocardiography for clinical applicationsSemantic proximity Read

CardiacField: Computational Echocardiography for Universal ScreeningSemantic proximity Read

Development of Computational Pipeline for Right Ventricular Hemodynamic Single-Beat AnalysisSemantic proximity Read

CorSeg-CineSAX: An Open-Source Deep Learning Framework for Fully Automatic Segmentation of Short-Axis Cine Cardiac MRI Across Multiple Cardiac DiseasesSemantic proximity Read

Genetic Analysis of Right Heart Structure and Function in 40,000 PeopleSemantic proximity Read

Generalizability and Quality Control of Deep Learning-Based 2D Echocardiography Segmentation Models in a Large Clinical DatasetSemantic proximity Read

Clinical validation of a fully automated framework for ventricular segmentation and wall motion classification from cine CMRSemantic proximity Read

Deep Learning Interpretation of EchocardiogramsSemantic proximity Read

Comprehensive aortic stenosis characterization using multi-view deep learningSemantic proximity Read