📣 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 for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database (2021)

First Author: Jones G

Attributed to: Potts shunt for suprasystemic pulmonary artery hypertension: decision-making and design funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2103.00599

Publication URI: https://arxiv.org/abs/2103.00599

Type: Other