Dr. Li Yao Profile

Dr. Li Yao

at Beijing Normal Univ

SPIE Involvement:

Author

Publications (51)

Proceedings Article | 16 March 2020 Paper

Network features of simultaneous EEG and fMRI predict working memory load

Yutong Wang, Ying Liu, Li Yao, Xiaojie Zhao

Proceedings Volume 11313, 113131U (2020) https://doi.org/10.1117/12.2548415

KEYWORDS: Electroencephalography, Functional magnetic resonance imaging, Feature extraction, Electrodes, Brain, Fusion splicing, Cognitive neuroscience, Visualization, Data acquisition, Detection and tracking algorithms

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Proceedings Article | 12 March 2018 Paper

Semi-supervised sparse representation classifier with random sample subset ensembles in fMRI-based brain state decoding

Jing Zhang, Chuncheng Zhang, Sutao Song, Li Yao, Xiaojie Zhao, Zhiying Long

Proceedings Volume 10578, 105782A (2018) https://doi.org/10.1117/12.2292542

KEYWORDS: Functional magnetic resonance imaging, Brain, Image classification, Computer simulations, Machine learning, Neuroimaging, Reliability, Safety, Data acquisition, Image processing

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Proceedings Article | 2 March 2018 Paper

Brain decoding using deep convolutional network and its application in cross-subject analysis

Yufei Gao, Yameng Zhang, Wen Zhou, Li Yao, Jiacai Zhang

Proceedings Volume 10574, 1057423 (2018) https://doi.org/10.1117/12.2286764

KEYWORDS: Brain, Convolution, Functional magnetic resonance imaging, Neuroimaging, Machine learning, Feature extraction, Neural networks

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Proceedings Article | 20 March 2015 Paper

Discriminative analysis of non-linear brain connectivity for leukoaraiosis with resting-state fMRI

Youzhi Lai, Lele Xu, Li Yao, Xia Wu

Proceedings Volume 9414, 94142I (2015) https://doi.org/10.1117/12.2081378

KEYWORDS: Dementia, Brain, Functional magnetic resonance imaging, Data modeling, Neuroimaging, Magnetic resonance imaging, Cerebellum, Computed tomography, Network security, Image processing

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Proceedings Article | 17 March 2015 Paper

Interaction of multiple networks modulated by the working memory training based on real-time fMRI

Jiahui Shen, Gaoyan Zhang, Chaozhe Zhu, Li Yao, Xiaojie Zhao

Proceedings Volume 9417, 94171L (2015) https://doi.org/10.1117/12.2076334

KEYWORDS: Scanning electron microscopy, Functional magnetic resonance imaging, Neuroimaging, Brain, Modulation, Switches, Prefrontal cortex, Cognitive modeling, Feedback signals, Lithium

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Proceedings Article | 17 March 2015 Paper

Cortical activities of single-trial P300 amplitudes modulated by memory load using simultaneous EEG-fMRI

Qiushi Zhang, Xiaojie Zhao, Chaozhe Zhu, Xueqian Yang, Li Yao

Proceedings Volume 9417, 94170L (2015) https://doi.org/10.1117/12.2080983

KEYWORDS: Functional magnetic resonance imaging, Electroencephalography, Brain, Modulation, Wavelet transforms, Spatial resolution, Fiber amplifiers, Optical amplifiers, Electrodes, Magnetic resonance imaging

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Proceedings Article | 21 March 2014 Paper

Comparative study of two sparse multinomial logistic regression models in decoding visual stimuli from brain activity of fMRI

Sutao Song, Gongxiang Chen, Yu Zhan, Jiacai Zhang, Li Yao

Proceedings Volume 9034, 90341R (2014) https://doi.org/10.1117/12.2042459

KEYWORDS: Functional magnetic resonance imaging, Data modeling, Visualization, Brain, Feature selection, Visual process modeling, Neuroimaging, Computer simulations, Monte Carlo methods, Information visualization

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Proceedings Article | 13 March 2014 Paper

Independent component analysis of DTI data reveals white matter covariances in Alzheimer's disease

Xin Ouyang, Xiaoyu Sun, Ting Guo, Qiaoyue Sun, Kewei Chen, Li Yao, Xia Wu, Xiaojuan Guo

Proceedings Volume 9038, 90380B (2014) https://doi.org/10.1117/12.2042237

KEYWORDS: Independent component analysis, Diffusion tensor imaging, Alzheimer's disease, Neuroimaging, Brain, Brain mapping, Magnetic resonance imaging, Anisotropy, Control systems, Databases

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