Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data

Published:2021-02 Issue: Volume:115 Page:680-699
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

El-Sappagh Shaker,Saleh Hager,Sahal Radhya,Abuhmed Tamer,Islam S.M. Riazul,Ali Farman,Amer Eslam

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference54 articles.

1. Diffusion tensor imaging and tract-based spatial statistics in Alzheimer’s disease and mild cognitive impairment;Liu;Neurobiol. Aging,2011

2. World Health OriginatiSon.

3. Alzheimer’s disease: diagnosis and treatment across the spectrum of disease severity;Neugroschl;Mount Sinai J. Med.: J. Trans. Personal. Med.,2011

4. Preclinical evidence of Alzheimer changes in progressive mild cognitive impairment: a qualitative and quantitative SPECT study;Ishiwata;Acta Neurol. Scand.,2006

5. Classification of Alzheimer’s disease, mild cognitive impairment, and cognitively unimpaired individuals using multi-feature kernel discriminant dictionary learning;Li;Front. Comput. Neurosci.,2018

Cited by 55 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. Dominant hippocampus segmentation with brain atrophy analysis-based AD subtype classification using KLW-RU-Net and T1FL;Alexandria Engineering Journal;2024-10

2. Alzheimer's disease diagnosis in the metaverse;Computer Methods and Programs in Biomedicine;2024-10

3. An efficient ranking-based ensembled multiclassifier for neurodegenerative diseases classification using deep learning;Journal of Neural Transmission;2024-09-09

4. Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data;Applied Soft Computing;2024-09

5. FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups;Information Sciences;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