Zhou Y - Search Results

1

Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation.

Wen D, Li R, Jiang M, Li J, Liu Y, Dong X, Saripan MI, Song H, Han W, Zhou Y. Wen D, et al. Among authors: zhou y. Neural Netw. 2022 Apr;148:23-36. doi: 10.1016/j.neunet.2021.12.010. Epub 2021 Dec 25. Neural Netw. 2022. PMID: 35051867

2

A critical review: coupling and synchronization analysis methods of EEG signal with mild cognitive impairment.

Wen D, Zhou Y, Li X. Wen D, et al. Among authors: zhou y. Front Aging Neurosci. 2015 Apr 20;7:54. doi: 10.3389/fnagi.2015.00054. eCollection 2015. Front Aging Neurosci. 2015. PMID: 25941486 Free PMC article. Review.

3

The Biomarkers for Identifying Preclinical Alzheimer's Disease via Structural and Functional Magnetic Resonance Imaging.

Zhou Y, Tan C, Wen D, Sun H, Han W, Xu Y. Zhou Y, et al. Front Aging Neurosci. 2016 Apr 27;8:92. doi: 10.3389/fnagi.2016.00092. eCollection 2016. Front Aging Neurosci. 2016. PMID: 27199739 Free PMC article. No abstract available.

4

Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impairment.

Wen D, Jia P, Lian Q, Zhou Y, Lu C. Wen D, et al. Among authors: zhou y. Front Aging Neurosci. 2016 Jul 8;8:172. doi: 10.3389/fnagi.2016.00172. eCollection 2016. Front Aging Neurosci. 2016. PMID: 27458376 Free PMC article. Review.

5

The Study of Evaluation and Rehabilitation of Patients With Different Cognitive Impairment Phases Based on Virtual Reality and EEG.

Wen D, Lan X, Zhou Y, Li G, Hsu SH, Jung TP. Wen D, et al. Among authors: zhou y. Front Aging Neurosci. 2018 Apr 3;10:88. doi: 10.3389/fnagi.2018.00088. eCollection 2018. Front Aging Neurosci. 2018. PMID: 29666577 Free PMC article. No abstract available.

6

Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion.

Wen D, Wei Z, Zhou Y, Li G, Zhang X, Han W. Wen D, et al. Among authors: zhou y. Front Neuroinform. 2018 Apr 26;12:23. doi: 10.3389/fninf.2018.00023. eCollection 2018. Front Neuroinform. 2018. PMID: 29755334 Free PMC article. No abstract available.

7

Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information.

Wen D, Jia P, Hsu SH, Zhou Y, Lan X, Cui D, Li G, Yin S, Wang L. Wen D, et al. Among authors: zhou y. Neural Netw. 2019 Feb;110:159-169. doi: 10.1016/j.neunet.2018.11.006. Epub 2018 Dec 3. Neural Netw. 2019. PMID: 30562649

8

The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method.

Wen D, Li P, Li X, Wei Z, Zhou Y, Pei H, Li F, Bian Z, Wang L, Yin S. Wen D, et al. Among authors: zhou y. Neural Netw. 2020 Apr;124:373-382. doi: 10.1016/j.neunet.2020.01.025. Epub 2020 Jan 30. Neural Netw. 2020. PMID: 32058892

9

The Current Research of Spatial Cognitive Evaluation and Training With Brain-Computer Interface and Virtual Reality.

Zhou Y, Wen D, Lu H, Yao W, Liu Y, Qian W, Yuan J. Zhou Y, et al. Front Neurosci. 2020 Feb 7;13:1439. doi: 10.3389/fnins.2019.01439. eCollection 2019. Front Neurosci. 2020. PMID: 32116484 Free PMC article. No abstract available.

10

Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network.

Wen D, Zhou Y, Li P, Zhang P, Li J, Wang Y, Li X, Bian Z, Yin S, Xu Y. Wen D, et al. Among authors: zhou y. J Neural Eng. 2020 Jun 2;17(3):036005. doi: 10.1088/1741-2552/ab8b7b. J Neural Eng. 2020. PMID: 32315997

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