Quanying Liu (刘泉影)
Quanying Liu (刘泉影)
Southern University of Science and Technology
Verified email at - Homepage
Cited by
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Detecting large‐scale networks in the human brain using high‐density electroencephalography
Q Liu, S Farahibozorg, C Porcaro, N Wenderoth, D Mantini
Human brain mapping 38 (9), 4631-4643, 2017
EEGdenoiseNET: A benchmark dataset for deep learning solutions of eeg denoising
H Zhang, M Zhao, C Wei, D Mantini, Z Li, Q Liu
Journal of Neural Engineering 18 (5), 056057, 2021
Fluorination Enhances NIR‐II Fluorescence of Polymer Dots for Quantitative Brain Tumor Imaging
Y Liu, J Liu, D Chen, X Wang, Z Zhang, Y Yang, L Jiang, W Qi, Z Ye, S He, ...
Angewandte Chemie International Edition 59 (47), 21049-21057, 2020
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization
Q Liu, M Ganzetti, N Wenderoth, D Mantini
Frontiers in neuroinformatics 12, 4, 2018
A real-time EEG-based BCI system for attention recognition in ubiquitous environment
Y Li, X Li, M Ratcliffe, L Liu, Y Qi, Q Liu
Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011
Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model
Q Liu, JH Balsters, M Baechinger, O van der Groen, N Wenderoth, ...
Journal of neural engineering 12 (5), 056012, 2015
Concurrent tACS-fMRI reveals causal influence of power synchronized neural activity on resting state fMRI connectivity
M Bächinger, V Zerbi, M Moisa, R Polania, Q Liu, D Mantini, C Ruff, ...
Journal of Neuroscience 37 (18), 4766-4777, 2017
Shared and connection-specific intrinsic interactions in the default mode network
J Samogin, Q Liu, M Marino, N Wenderoth, D Mantini
NeuroImage 200, 474-481, 2019
A novel convolutional neural network model to remove muscle artifacts from EEG
H Zhang, C Wei, M Zhao, Q Liu, H Wu
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
M Marino, Q Liu, V Koudelka, C Porcaro, J Hlinka, N Wenderoth, ...
Scientific reports 8 (1), 1-11, 2018
Improve affective learning with EEG approach
X Li, Q Zhao, B Hu, L Liu, H Peng, Y Qi, C Mao, Z Fang, Q Liu
Computing and Informatics 29 (4), 557, 2010
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
J Yuan, X Ran, K Liu, C Yao, Y Yao, H Wu, Q Liu
Journal of neuroscience methods, 109441, 2021
Neuronal dynamics enable the functional differentiation of resting state networks in the human brain
M Marino, Q Liu, J Samogin, F Tecchio, C Cottone, D Mantini, C Porcaro
Human brain mapping 40 (5), 1445-1457, 2019
Improving individual identification in security check with an EEG based biometric solution
Q Zhao, H Peng, B Hu, Q Liu, L Liu, YB Qi, L Li
International Conference on Brain Informatics, 145-155, 2010
Diversity-enabled sweet spots in layered architectures and speed–accuracy trade-offs in sensorimotor control
Y Nakahira, Q Liu, TJ Sejnowski, JC Doyle
Proceedings of the National Academy of Sciences 118 (22), e1916367118, 2021
Neural activity related to volitional regulation of cortical excitability
K Ruddy, J Balsters, D Mantini, Q Liu, P Kassraian-Fard, N Enz, E Mihelj, ...
eLife 7, e40843, 2018
Automated detection and labeling of high-density EEG electrodes from structural MR images
M Marino, Q Liu, S Brem, N Wenderoth, D Mantini
Journal of Neural Engineering 13 (5), 056003, 2016
Neural correlates of drug-related attentional bias in heroin dependence
Q Zhao, H Li, B Hu, Y Li, CR Gillebert, D Mantini, Q Liu
Frontiers in human neuroscience 11, 646, 2018
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation
X Ran, M Xu, L Mei, Q Xu, Q Liu
Neural Networks 145, 199-208, 2022
User-centered depression prevention: An EEG approach to pervasive healthcare
H Peng, B Hu, Q Liu, Q Dong, Q Zhao, P Moore
2011 5th International Conference on Pervasive Computing Technologies for …, 2011
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