Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings-Reference-Cited by-同舟云学术

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Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)
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Author:

Morabito Francesco Carlo,Campolo Maurizio,Ieracitano Cosimo,Ebadi Javad Mohammad,Bonanno Lilla,Bramanti Alessia,Desalvo Simona,Mammone Nadia,Bramanti Placido

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7704484/7740541/07740576.pdf?arnumber=7740576

Cited by 70 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. Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals;Biomedical Signal Processing and Control;2025-01

2. Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review;Eng;2024-07-16

3. Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG;IEEE Journal of Biomedical and Health Informatics;2024-06

4. Multi Modal EEG-Based Classification of Alzheimer's Disease and Mild Cognitive Impairment Using Hilbert Huang Transform;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

5. Data leakage in deep learning studies of translational EEG;Frontiers in Neuroscience;2024-05-03

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