Area of research
Cognitive Neuroscience · Surgery
Research interest
Research interests include EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies, Neural dynamics and brain function, and Bladder and Urothelial Cancer Treatments.
Recent applications of EEG-based brain-computer-interface in the medical field
A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer
Expert consensus on cancer treatment-related lung injury
Feature Extraction Method of EEG Signals Evaluating Spatial Cognition of Community Elderly With Permutation Conditional Mutual Information Common Space Model.
Design and Test of Spatial Cognitive Training and Evaluation System Based on Virtual Reality Head-Mounted Display With EEG Recording.
Cross-task-oriented EEG signal analysis methods: Our opinion.
HSF1 facilitates the multistep process of lymphatic metastasis in bladder cancer via a novel PRMT5‐WDR5‐dependent transcriptional program
EEG decoding method based on multi-feature information fusion for spinal cord injury.
Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation.
Task-State EEG Signal Classification for Spatial Cognitive Evaluation Based on Multiscale High-Density Convolutional Neural Network.
Targeting WD repeat domain 5 enhances chemosensitivity and inhibits proliferation and programmed death-ligand 1 expression in bladder cancer
An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study
Combining brain-computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review.
The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality.
Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network.
The Effective Cognitive Assessment and Training Methods for COVID-19 Patients With Cognitive Impairment.
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.
Electronic Science Games Used to Enhance Cognitive Ability: Opinion of Design From Personalization and Adaptation.
Combining brain–computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review
Long non-coding RNA FGD5-AS1 promotes non-small cell lung cancer cell proliferation through sponging hsa-miR-107 to up-regulate FGFRL1
The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality
The EEG Signal Analysis for Spatial Cognitive Ability Evaluation Based on Multivariate Permutation Conditional Mutual Information-Multi-Spectral Image.
Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network.
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.
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.
A novel AR translational regulator lncRNA LBCS inhibits castration resistance of prostate cancer
Polypyrimidine tract binding protein 1 promotes lymphatic metastasis and proliferation of bladder cancer via alternative splicing of MEIS2 and PKM
Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information.
The Current Research of Spatial Cognitive Evaluation and Training With Brain-Computer Interface and Virtual Reality.
LNMAT1 promotes lymphatic metastasis of bladder cancer via CCL2 dependent macrophage recruitment