Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Topics Community

Article

Spatial phenotyping of epicardial adipose tissue from cardiac MRI.

Medical image analysis - 1 Sept 2026

Feng Fan, Long Ting, Hasaballa Abdallah I, Sun Xinyi, Gu Yun, Carlhäll Carl-Johan, Zhao Jichao

Abstract excerpt

Epicardial adipose tissue (EAT) is increasingly recognized as an important contributor to cardiovascular disease (CVD), but its spatial distribution across the heart remains insufficiently characterized due to limitations in existing segmentation and analysis methods. In this study, we developed a deep learning-based framework that integrates automated cardiac MRI segmentation with spatial statistical modeling to...

Topics

Join the communities discussing this publication.

Deep Learning
Diabetes Mellitus, Type 2
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Pericardium

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 42480341
DOI: 10.1016/j.media.2026.104223

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Spatial phenotyping of epicardial adipose tissue from cardiac MRI.PMID 42480341Read ↗

AI-Enabled Echocardiography Identifies an Adverse Epicardial Adiposity Phenotype Associated with Cardiometabolic DysfunctionSemantic proximity Read ↗

The Cardiovascular Impact and Genetics of Pericardial AdipositySemantic proximity Read ↗

Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat.Semantic proximity Read ↗

Genomic atlas of cardiac and adiposity imaging phenotypesSemantic proximity Read ↗

Scalable Deep Learning of Histology Images Reveals Genetic and Phenotypic Determinants of Adipocyte HypertrophySemantic proximity Read ↗

Hundreds of cardiac MRI traits derived using 3D diffusion autoencoders share a common genetic architecture.Semantic proximity Read ↗

A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI dataSemantic proximity Read ↗

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

Pericardial adiposity is independently linked to adverse cardiovascular phenotypes: a CMR study of 42 598 UK Biobank participants.Semantic proximity Read ↗

Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architectureSemantic proximity Read ↗

Compartment-specific Fat Distribution Profiles have Distinct Relationships with Cardiovascular Ageing and Future Cardiovascular EventsSemantic proximity Read ↗

Epicardial adipose tissue as a determinant of heart failure prognosis: insights across ejection fraction phenotypes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.