Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

Published:2017-12 Issue: Volume:163 Page:115-124
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Cole James H.,Poudel Rudra P.K.,Tsagkrasoulis Dimosthenis,Caan Matthan W.A.,Steves Claire,Spector Tim D.,Montana Giovanni

Funder

Wellcome Trust

Medical Research Council

European Commision’s Seventh Framework Program

National Institute for Health Research (NIHR)

BioResource, Clinical Research Facility

Biomedical Research Centre

St Thomas' NHS Foundation Trust

NIHR Biomedical Research Centre

Imperial College London from the Medical Research Council

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference68 articles.

1. Dementia: a problem for our age;Abbott;Nature,2011

2. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Control,1974

3. A fast diffeomorphic image registration algorithm;Ashburner;NeuroImage,2007

4. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain;Avants;Med. Image Anal.,2008

5. Quantitative genetic modeling of variation in human brain morphology;Baaré;Cereb. Cortex,2001

Cited by 633 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion;Information Sciences;2025-01

2. Mapping brain development against neurological disorder using contrastive sharing;Expert Systems with Applications;2024-12

3. Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs;Medical Image Analysis;2024-12

4. Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction;Neural Networks;2024-11

5. Brain age prediction via cross-stratified ensemble learning;NeuroImage;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3