T
Ti-Fei Yuan
Researcher at Shanghai Jiao Tong University
Publications - 199
Citations - 4062
Ti-Fei Yuan is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 32, co-authored 141 publications receiving 2963 citations. Previous affiliations of Ti-Fei Yuan include University of Geneva & Zhejiang Sci-Tech University.
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Journal ArticleDOI
Repopulated microglia are solely derived from the proliferation of residual microglia after acute depletion
Yubin Huang,Zhen Xu,Shanshan Xiong,Fangfang Sun,Guangrong Qin,Guanglei Hu,Jingjing Wang,Jingjing Wang,Lei Zhao,Yu-Xiang Liang,Tianzhun Wu,Zhonghua Lu,Mark S. Humayun,Kwok-Fai So,Kwok-Fai So,Yihang Pan,Ningning Li,Ti-Fei Yuan,Ti-Fei Yuan,Yanxia Rao,Yanxia Rao,Bo Peng +21 more
TL;DR: It is demonstrated that the newly formed microglia are actually solely derived from residualmicroglia, suggesting the absence of microglial progenitor cells in the adult brain.
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Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.
Yudong Zhang,Zhengchao Dong,Preetha Phillips,Shuihua Wang,Shuihua Wang,Genlin Ji,Jiquan Yang,Ti-Fei Yuan +7 more
TL;DR: The proposed eigenbrain method was effective in AD subject prediction and discriminant brain-region detection in MRI scanning and was coherent with existing literatures.
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10-Hz Repetitive Transcranial Magnetic Stimulation of the Left Dorsolateral Prefrontal Cortex Reduces Heroin Cue Craving in Long-Term Addicts.
Ying Shen,Ying Shen,Xinyu Cao,Tao Tan,Chunlei Shan,Yingjie Wang,Jibin Pan,Hao He,Ti-Fei Yuan +8 more
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Identification of Green, Oolong and Black Teas in China via Wavelet Packet Entropy and Fuzzy Support Vector Machine
TL;DR: A computer-vision and machine-learning based system, which did not require expensive signal acquiring devices and time-consuming procedures, and is effective for tea identification.
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Methods to improve electrochemical treatment effect of dye wastewater
TL;DR: It is suggested by the simulation result of this model that electrolysis degradation should better be carried out at about 3.0 V, in 0.01 M Na2SO4 concentration for high energy efficiency.