A novel GA-ELM approach for Parkinson's disease detection using brain structural T1-weighted MRI data-Reference-Cited by-同舟云学术

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A novel GA-ELM approach for Parkinson's disease detection using brain structural T1-weighted MRI data

Published:2016-08 Issue: Volume: Page:
ISSN:
Container-title:2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)
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Author:

Pahuja Gunjan,Nagabhushan T.N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7786579/7802840/07802848.pdf?arnumber=7802848

Cited by 15 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. Optimized Extreme Learning Machine with Bacterial Colony Optimization Algorithm for Disease Diagnosis in Clinical Datasets;SN Computer Science;2024-05-26

2. Classification of Patients with Dementia and Parkinson’s with Support Vector Machine;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

3. Classification of Parkinson’s Disease in Patch-Based MRI of Substantia Nigra;Diagnostics;2023-08-31

4. Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review;Cognitive Computation;2023-07-25

5. Multiclass-Based Support Vector Machine for Parkinson’s Disease Detection on Speech Data;Information Systems and Management Science;2022-11-29

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