讲师
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讲师

颜文婧

性别:女

职称:讲师

办公室:耕耘楼806

Email:yanwenjing0423@163.com

主要研究方向:图像信号处理,机器学习,模式识别

教育背景:

2002-2006西安理工大学,电气工程及其自动化,工学学士;

2008-2010中国矿业大学,测试计量技术及仪器,工学硕士; 

2012-2017 Auburn UniversityElectrical and computer engineering, 工学博士。

工作经历:20186月-至今:澳门威尼斯游戏平台

科研成果:

[1] Benjamin M. Hampstead, Mohammad Khoshnoodi, Wenjing Yan, Gopikrishna Deshpande, and Sathian K. “Patterns of effective connectivity during memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults.” NeuroImage, 124, 997-1008,2016.

[2] D. Rangaprakash, Michael N. Dretsch, Wenjing Yan, Jeffrey S. Katz, Thomas S. Denney Jr., Gopikrishna Deshpande, “Hemodynamic response function parameters obtained from resting-state functional MRI data in soldiers with trauma.” Data in Brief, 558-562,2017.

[3] D. Rangaprakash, Michael N. Dretsch, Wenjing Yan, Jeffrey S. Katz, Thomas S. Denney, Jr., and Gopikrishna Deshpande, “Hemodynamic Variability in Soldiers with Trauma: Implications for Functional MRI Connectivity Studies.” Neuroimage Clinical, 16 (C) :409, 2017.

[4] Wenjing Yan, D. Rangaprakash, and Gopikrishna Deshpande, “Aberrant Hemodynamic Responses in Autism: Implications for Resting State fMRI Functional Connectivity Studies.” Neuroimage Clinical 19 :320-330,2018.

[5] Wenjing Yan, D. Rangaprakash, and Gopikrishna Deshpande. "Hemodynamic Response Function Parameters Obtained from Resting State BOLD fMRI Data in Subjects with Autism Spectrum Disorder and Matched Healthy Controls." Data in Brief (2018).