📣 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.

Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. (2016)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jbiomech.2016.11.001

PubMed Identifier: 27884431

Publication URI: http://europepmc.org/abstract/MED/27884431

Type: Journal Article/Review

Volume: 49

Parent Publication: Journal of biomechanics

Issue: 16

ISSN: 0021-9290