📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank. (2021)

First Author: Bard A

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fcvm.2021.677574

PubMed Identifier: 34307493

Publication URI: http://europepmc.org/abstract/MED/34307493

Type: Journal Article/Review

Volume: 8

Parent Publication: Frontiers in cardiovascular medicine

ISSN: 2297-055X