Mingqi Zhao
Mingqi Zhao
Ph.D student, KU Leuven
Verified email at
Cited by
Cited by
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
Hand, foot and lip representations in primary sensorimotor cortex: a high-density electroencephalography study
M Zhao, M Marino, J Samogin, SP Swinnen, D Mantini
Scientific reports 9 (1), 1-12, 2019
A robust authentication scheme with dynamic password for wireless body area networks
X Liu, R Zhang, M Zhao
Computer Networks 161, 220-234, 2019
A humanoid robot used as an assistive intervention tool for children with autism spectrum disorder: A preliminary research
M Zhao, Q Zhao, Q Liu, N Li, H Peng, B Hu
International Conference on Brain and Health Informatics, 336-347, 2013
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
RT-NET: real-time reconstruction of neural activity using high-density electroencephalography
R Guarnieri, M Zhao, GA Taberna, M Ganzetti, SP Swinnen, D Mantini
Neuroinformatics 19 (2), 251-266, 2021
Small-world propensity reveals the frequency specificity of resting state networks
R Iandolo, M Semprini, S Buccelli, F Barban, M Zhao, J Samogin, ...
IEEE Open Journal of Engineering in Medicine and Biology 1, 57-64, 2020
Edge sparse basis network: a deep learning framework for EEG source localization
C Wei, K Lou, Z Wang, M Zhao, D Mantini, Q Liu
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings
N Li, B Hu, J Chen, H Peng, Q Zhao, M Zhao
International Conference on Neural Information Processing, 512-521, 2013
Frequency‐dependent modulation of neural oscillations across the gait cycle
M Zhao, G Bonassi, J Samogin, GA Taberna, E Pelosin, A Nieuwboer, ...
Human Brain Mapping, 2022
A multi-step blind source separation approach for the attenuation of artifacts in mobile high-density electroencephalography data
M Zhao, G Bonassi, R Guarnieri, E Pelosin, A Nieuwboer, L Avanzino, ...
Journal of Neural Engineering 18 (6), 066041, 2021
Investigating movement-related neural dynamics using mobile high-density electroencephalography
M Zhao
Ph.D. Thesis, KU Leuven, 2022
Assessing neurokinematic and neuromuscular connectivity during walking using mobile brain-body imaging
M Zhao, G Bonassi, J Samogin, GA Taberna, C Porcaro, E Pelosin, ...
Frontiers in Neuroscience 16, 912075, 2022
Variations in EEG predicts the individual differences in social tasks
H Zhang, K Zhang, Z Zhang, M Zhao, Q Liu, W Luo, H Wu
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