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颜文婧 博士
部门：北京工商大学计算机与信息工程学院 信息管理系
职称：讲师
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（北京），测试计量技术及仪器，工学硕士。
2012-2017 Auburn University（美国），Electrical and computer engineering，工学博士。
主要研究方向：图像信号处理，机器学习，模式识别
工作经历：2018年6月－至今：北京工商大学
联系方式：
Email:yanwenjing0423@163.com
代表论文：
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.
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.
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.
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.
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).