📣 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.

Uncertainty quantification in computed tomography pulmonary angiography. (2024)

First Author: Rambojun AM

Attributed to: The Mathematics of Deep Learning funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/pnasnexus/pgad404

PubMed Identifier: 38737009

Publication URI: http://europepmc.org/abstract/MED/38737009

Type: Journal Article/Review

Volume: 3

Parent Publication: PNAS nexus

Issue: 1

ISSN: 2752-6542