Dong Wen

发表

Resting-state EEG coupling analysis of amnestic mild cognitive impairment with type 2 diabetes mellitus by using permutation conditional mutual information

Xiaoli Li, Chengbiao Lu, Zhijie Bian, 2016, Clinical Neurophysiology.

Face Perception in Schizophrenia:A Functional Magnetic Resonance Imaging Study

Dong Wen, 2006 .

The EEG Signal Analysis for Spatial Cognitive Ability Evaluation Based on Multivariate Permutation Conditional Mutual Information-Multi-Spectral Image

Jian Xu, Dong Wen, Tzyy-Ping Jung, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The study of face recognition based on hybrid principal components analysis and independent component analysis

Liqiang Zhao, Yanhong Zhou, Huiyang Zhang, 2011, 2011 International Conference on Electronics, Communications and Control (ICECC).

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

Dong Wen, Chengbiao Lu, Yanhong Zhou, 2016, Front. Aging Neurosci..

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

Dong Wen, Chuangchuang Tan, Yanhong Zhou, 2016, Front. Aging Neurosci..

Resting-state functional magnetic resonance imaging shows altered brain network topology in Type 2 diabetic patients without cognitive impairment

Ying Han, Dong Wen, Xin Zhang, 2017, Oncotarget.

A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment

Yanhong Zhou, Xiaoli Li, Dong Wen, 2015, Front. Aging Neurosci..

Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer's disease: a multiscale entropy analysis.

Dong Wen, Haijing Niu, Ying Han, 2018, Biomedical optics express.

Combining brain-computer interface and virtual reality for rehabilitation in neurological diseases: a narrative review.

Yanhong Zhou, Sheng-Hsiou Hsu, Yali Fan, 2020, Annals of physical and rehabilitation medicine.

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

Xu Zhang, Dong Wen, Yanhong Zhou, 2018, Front. Neuroinform..

Coupling feature extraction method of resting state EEG Signals from amnestic mild cognitive impairment with type 2 diabetes mellitus based on weight permutation conditional mutual information

Dong Wen, Shimin Yin, Yanhong Zhou, 2021, Cognitive Neurodynamics.

Feature Classification Method of Resting-State EEG Signals From Amnestic Mild Cognitive Impairment With Type 2 Diabetes Mellitus Based on Multi-View Convolutional Neural Network

Yanhong Zhou, Xiaoli Li, Peng Li, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

Peng Zhang, Peng Li, Shimin Yin, 2020, Journal of neural engineering.

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

Xiaoli Li, Yanhong Zhou, Peng Li, 2020, Neural Networks.

EEG decoding method based on multi-feature information fusion for spinal cord injury

Fangzhou Xu, Dong Wen, Yang Zhang, 2022, Neural Networks.

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

Huibin Lu, Dong Wen, Yanhong Zhou, 2020, Frontiers in Neuroscience.

Classification of ERP Signals from Mild Cognitive Impairment Patients with Diabetes using Dual Input Encoder Convolutional Neural Network

Yanhong Zhou, Shimin Yin, Dong Wen, 2019, 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

The Study of Enhancing Authenticity of Cloth Surface Intersection Processing

Dong Wen, Guohua Liu, Yanhong Zhou, 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network

Xiaoli Li, Dong Wen, Shimin Yin, 2021, Journal of Neuroscience Methods.

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

Tzyy-Ping Jung, Dong Wen, Sheng-Hsiou Hsu, 2018, Front. Aging Neurosci..

The Effective Cognitive Assessment and Training Methods for COVID-19 Patients With Cognitive Impairment

Dong Wen, M. Saripan, Jian Xu, 2022, Frontiers in Aging Neuroscience.

Feature Extraction Method of EEG Signals Evaluating Spatial Cognition of Community Elderly With Permutation Conditional Mutual Information Common Space Model

Dong Wen, Bingbing Liang, Xianling Dong, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Design and Test of Spatial Cognitive Training and Evaluation System Based on Virtual Reality Head-Mounted Display With EEG Recording

T. Jung, Fangzhou Xu, Dong Wen, 2023, IEEE transactions on neural systems and rehabilitation engineering.

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

Jingjing Li, Dong Wen, M. Saripan, 2021, Neural Networks.

The EEG signals encryption algorithm with K-sine-transform-based coupling chaotic system

Wei Han, Dong Wen, Xianling Dong, 2022, Inf. Sci..

The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality

Tzyy-Ping Jung, Dong Wen, Bingbing Liang, 2020, IEEE Journal of Biomedical and Health Informatics.

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

Lei Wang, Dong Wen, Yanhong Zhou, 2019, Neural Networks.

With Different Based on EEG.

Dong Wen, S. Hsu, Yanhong Zhou, 2018 .

Spatial Complex Brain Network

Yanbo Sun, Dong Wen, Zhenhao Wei, 2019, EEG Signal Processing and Feature Extraction.