📣 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.

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases. (2020)

First Author: Popuri K

Attributed to: Detecting, tracking & modelling structural and functional brain imaging changes in Alzheimer's disease funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/hbm.25115

PubMed Identifier: 32614505

Publication URI: http://europepmc.org/abstract/MED/32614505

Type: Journal Article/Review

Volume: 41

Parent Publication: Human brain mapping

Issue: 14

ISSN: 1065-9471