A Machine Learning Approach for Diagnosing Neurological Disorders using Longitudinal Resting-State fMRI-Reference-Cited by-同舟云学术

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A Machine Learning Approach for Diagnosing Neurological Disorders using Longitudinal Resting-State fMRI

Published:2021-01-28 Issue: Volume: Page:
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Container-title:2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

K Devika,Murthy Oruganti V Ramana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377009/9376876/09377173.pdf?arnumber=9377173

Cited by 8 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. Aggregated Pattern Classification Method for improving neural disorder stage detection;Brain and Behavior;2024-08

2. Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data;Artificial Intelligence in Medicine;2024-03

3. Early prediction of dementia using fMRI data with a graph convolutional network approach;Journal of Neural Engineering;2024-01-29

4. Fusion of Features: A Technique to Improve Autism Spectrum Disorder Detection Using Brain MRI Images;Biomedical and Pharmacology Journal;2023-12-31

5. Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey;Biomedicines;2023-06-29

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