📣 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.

Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study (2017)

First Author: Dawes T

Attributed to: Using Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac Function funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1148/radiol.2016161315

PubMed Identifier: 28092203

Publication URI: http://europepmc.org/abstract/MED/28092203

Type: Journal Article/Review

Parent Publication: Radiology

Issue: 2

ISSN: 0033-8419