The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
Author:
Affiliation:
1. Department of Computer Science & Engineering Punjabi University Patiala India
2. Department of Computer Science Mata Gujri College Fatehgarh Sahib India
3. Department of Computer Science Punjabi University Patiala India
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12644
Reference272 articles.
1. Changes in neuronal activation in patients with bipolar disorder during performance of a working memory task
2. Combination of rs‐fMRI and sMRI data to discriminate autism spectrum disorders in young children using deep belief network;Aghdam M. A.;Journal of Digital Imaging,2018
3. Alamdari N. T. &Fatemizadeh E.(2013 September).Comparison of classification and dimensionality reduction methods used in fMRI decoding. Paper presented at 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP) IEEE. pp. 175–179.
4. Alizadeh A. Fatemizadeh E. &Deevband M. R.(2014 November).Investigation of Brain Default Network's activation in autism spectrum disorders using Group Independent Component Analysis. In 2014 21th Iranian Conference on Biomedical Engineering (ICBME) IEEE. pp. 177–180.
5. Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines
Cited by 39 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. Connectome-based prediction modeling of cognitive control using functional and structural connectivity;Brain and Cognition;2024-11
2. Optical image analysis for graphene layer detection: Enhanced green channel methodology;Computational Materials Science;2024-09
3. Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence;Discover Artificial Intelligence;2024-08-23
4. The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-06-20
5. Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM;Journal of Neuroradiology;2024-06
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