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Ke Liu

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副教授 Supervisor of Master's Candidates

Paper Publications

[1]Liu Ke，Wei Wu,Zhenghui Gu,Yuanqing Li.Imaging Brain Extended Sources from EEG/MEG based on Variation Sparsity using Automatic Relevance Determination.[J].Neurocomputing,2020
[2]Ke Liu，Wei Wu,Zhenghui Gu,Jun Zhang,Ling Cen,Srikantan Nagarajan,Yuanqing Li.Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization.[J].IEEE Transactions on Biomedical Engineering,2019
[3]Ke Liu，Wu Wei,Zhenghui Gu,Yuanqing Li,Srikantan Nagarajan.Variation Sparse Source Imaging based on Conditional Mean for Electromagnetic Extended Sources.[J].Neurocomputing,2018,313(2018):96-110.
[4]Ke Liu，Zhenghui Gu,Yuanqing Li.Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.[J].NeuroImage,2016,138(2016):385-404.
[5]Ke Liu，Zhenghui Gu,Yuanqing Li.STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.[J].International Journal of Neural Systems,2015,25(4)
[6]Furong Xu，Xin Deng,Guoyin Wang.Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual.[C].International Conference on Brain Informatics,2019:95-104.
[7]Ke Liu，Wei Wu,Zhenghui Gu,Jun Zhang,Ling Cen,Yuanqing Li.Bayesian spatio-temporal decomposition for electromagnetic imaging of extended sources based on Destrieux atlas.[C].2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE,2018:639-643.

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