Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer’s Disease Diagnosis
Author:
Affiliation:
1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. School of Information Science and Technology, Nantong University, Nantong, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Key Research and Development Plan of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10114431/09992255.pdf?arnumber=9992255
Reference49 articles.
1. Modeling Task fMRI Data Via Deep Convolutional Autoencoder
2. Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
3. Predicting Alzheimer’s disease progression using multi-modal deep learning approach
4. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
5. Early diagnosis of Alzheimer’s disease with deep learning;liu;Proc IEEE 11th Int Symp Biomed Imag (ISBI),2014
Cited by 20 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. Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions;Expert Systems with Applications;2024-12
2. MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network;Computer Methods and Programs in Biomedicine;2024-09
3. 3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer’s Disease Diagnosis;IEEE Transactions on Medical Imaging;2024-09
4. Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis;Journal of Medical Internet Research;2024-08-08
5. FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification;IEEE Transactions on Fuzzy Systems;2024-08
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