Detection and analysis of Alzheimer’s disease using various machine learning algorithms
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference21 articles.
1. Marcus DS, Fotenos AF, Csernansky JG, Morris JC, Buckner RL. “Open Access Series of Imaging Studies (OASIS): Longitudinal MRI Data in Nondemented and Demented Older Adults”, Journal of cognitive neuroscience. (2010), pp.2677-2684
2. Marcus, DS, Wang, TH, Parker, J, Csernansky, JG, Morris, JC, Buckner, RL. “Open Access Series of Imaging Studies (OASIS): Cross-Sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults”Journal of Cognitive Neuroscience (2007),1498-1507.
3. Elaheh Moradi, Antonietta Pepe, Christian Gaser, Heikki Huttunen, Jussi Tohka, “Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects, In NeuroImage”, 104 (2015), 398-412.
4. Zhang Y, Dong Z, Phillips P, et al. Detection of subjects and brain regions related to Alzheimer’s disease using 3D MRI scans based on eigenbrain and machine learning Frontiers in Computational Neuroscience. 66(2015) 1-15.
5. Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI;Magnin;Neuroradiology,2009
Cited by 24 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. Early Alzheimer’s Disease Detection: A Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment;Diagnostics;2024-08-13
2. Multimodal Data Integration for Early Alzheimer’s Detection Using Random Forest and Support Vector Machines;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-07-22
3. Alzheimer's Diagnosis;Advances in Medical Technologies and Clinical Practice;2024-06-30
4. A deep learning-based early alzheimer’s disease detection using magnetic resonance images;Multimedia Tools and Applications;2024-06-28
5. Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using K-Means Clustering on MRI Data;Information;2024-02-08
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