Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer’s Disease

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Brand Lodewijk,O'Callaghan Braedon,Sun Anthony,Wang Hua

Funder

National Science Foundation

University of Pittsburgh

University of Pennsylvania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9287816/9287978/09288022.pdf?arnumber=9288022

Cited by 4 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. Data science Analysis Using Deep Learning Techniques in Mining Biological Data;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

2. Patch-Based Siamese 3D Convolutional Neural Network for Early Alzheimer's Disease Using Multi-Modal Approach;IETE Journal of Research;2023-05-15

3. Genetics Information with Functional Brain Networks for Dementia Classification;Mathematics;2023-03-21

4. Predictive classification of Alzheimer’s disease using brain imaging and genetic data;Scientific Reports;2022-02-14

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