📣 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.

Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review. (2021)

First Author: Hardacre CJ

Attributed to: Learning Sparse Features from 4D fMRI Data for Brain Disease Diagnosis funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1259/bjr.20210332

PubMed Identifier: 34541861

Publication URI: http://europepmc.org/abstract/MED/34541861

Type: Journal Article/Review

Volume: 94

Parent Publication: The British journal of radiology

Issue: 1128

ISSN: 0007-1285