Article

3D Segmentation of Multi-Contrast Cardiac Magnetic Resonances With Topological Correction and Synthetic Data Augmentation

2025-10-29

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Automatic segmentation of cardiac magnetic resonance (CMR) images improves the evaluation of heart structure and function, helping clinical diagnosis and the generation of <italic>in silico</italic> models. Recent advances have introduced synthetic augmentation (SA) using generative adversarial networks (GANs) and topological correction (TC) via persistent hom...

Topics

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

Identifiers and source

Literature Corpus work: 3845d9f2-6353-528b-a5a7-9419fcedec51
DOI: 10.21203/rs.3.rs-7965351/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

3D Segmentation of Multi-Contrast Cardiac Magnetic Resonances With Topological Correction and Synthetic Data AugmentationDOI 10.21203/rs.3.rs-7965351/v1Read

Improving Robustness of Automatic Cardiac Function Quantification From Cine Magnetic Resonance Imaging Using Synthetic Image DataSemantic 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

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

A Deep Learning Based Cardiac Cine Segmentation Framework for Clinicians – Transfer Learning Application to 7TSemantic proximity Read

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

Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learningSemantic proximity Read

High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial networkSemantic proximity Read

EF-Gated 3D Capsule Networks with Spatially Decoupled Routing for Clinical Phenotyping of Heart Failure Subtypes in Cardiac MRI.Semantic proximity Read

A Deep Learning-Enabled Toolkit for the 3D Segmentation of Ventricular CardiomyocytesSemantic proximity Read

Multi-task artificial intelligence annotation of echocardiographic images: a retrospective multi-cohort studySemantic proximity Read

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