Deep learning for brain disorder diagnosis based on fMRI images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep learning for brain disorder diagnosis based on fMRI images

Published:2022-01 Issue: Volume:469 Page:332-345
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yin Wutao,Li Longhai,Wu Fang-Xiang

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference142 articles.

1. Deep learning to detect alzheimer’s disease from neuroimaging: A systematic literature review;Ebrahimighahnavieh;Computer Methods and Programs in Biomedicine,2020

2. What we can do and what we cannot do with fmri;Logothetis;Nature,2008

3. G.H. Glover, Overview of functional magnetic resonance imaging, Neurosurgery Clinics of North America 22 (2011) 133–139. Functional Imaging.

4. An overview of functional magnetic resonance imaging techniques for organizational research;Loued-Khenissi;Organizational Research Methods,2019

5. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia;Kim;NeuroImage,2016

Cited by 67 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. Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning – A Bibliometric Analysis;Current Neuropharmacology;2024-11

2. A short report on ADHD detection using convolutional neural networks;Frontiers in Psychiatry;2024-09-05

3. BrainGT: Multifunctional Brain Graph Transformer for Brain Disorder Diagnosis;2024-08-31

4. Contrastive voxel clustering for multiscale modeling of brain network;NeuroImage;2024-08

5. Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI;IEEE Transactions on Biomedical Engineering;2024-08

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