Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture-Reference-Cited by-同舟云学术

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Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

Published:2024-04 Issue: Volume:290 Page:120566
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Xu Qianhui,Zhou Lei-Lei,Xing Chunhua,Xu Xiaomin,Feng Yuan,Lv Han,Zhao Fei^ORCID,Chen Yu-Chen,Cai Yuexin

Funder

National Natural Science Foundation of China

Jiangsu Province Natural Science Foundation

Guangzhou Municipal Science and Technology Project

Publisher

Elsevier BV

Reference45 articles.

1. ACTNet: asymmetric convolutional transformer network for diabetic foot ulcers classification;Ai;Phys. Eng. Sci. Med.,2022

2. Tinnitus;Baguley;Lancet,2013

3. Robust single-trial EEG-based authentication achieved with a 2-stage classifier;Barayeu;Biosensors,2020

4. Identification of the somatomotor network from language task-based fMRI compared with resting-state fMRI in patients with brain lesions;Beheshtian;Radiology,2021

5. BND-VGG-19: a deep learning algorithm for COVID-19 identification utilizing X-ray images;Cao;Knowl. Based Syst.,2022

Cited by 2 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. Abnormal static and dynamic brain network connectivity associated with chronic tinnitus;Neuroscience;2024-08

2. Attention-Modulated Cortical Responses as a Biomarker for Tinnitus;Brain Sciences;2024-04-25

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