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郑秀娟 (Xiujuan ZHENG)

郑秀娟 (Xiujuan ZHENG)

副教授

 

专业:自动化

方向:检测技术及其自动化装置/模式识别

Email:xiujuanzheng@scu.edu.cn

电话:

地址:四川大学望江校区基础教学楼B213

邮编:610065

学习和工作简历

教育经历:

2007/09-2011/02 香港理工大学 博士
2008/08-2009/02 加州大学洛杉矶分校医学院 访问学生
2004/09-2006/06 浙江大学 工学硕士
2000/09-2004/07 西北工业大学 工学学士

工作经历:

2014/05至今 四川大学电气信息学院 副教授
2011/03-2013/10 上海交通大学医学院 博士后
2006/08-2007/08 香港理工大学 研究助理

Education

2007/09-2011/01 Electronic Information Engineering, the Hong Kong Polytechnic University, Ph.D.

2008/08-2009/02 Department of Molecular and Medical Pharmacology, UCLA David Geffen School of Medicine, University of California, Los Angeles, USA, Visiting Research Student.
2004/09-2006/06 Biomedical Engineering, Zhejiang University, China, M.E.
2000/09-2004/07 Electronic Information Engineering, Northwestern Polytechnical University, China, B.E.

Employment

2014/05-Present Associate Professor, College of Electrical Engineering and Information Technology, Sichuan University, China
2011/03-2013/10 Post-doctor, School of Medicine, Shanghai Jiaotong University, China.
2006/08-2007/08 Research Assistant, the Department of Health Technology and Informatics, the Hong Kong Polytechnic University.


研究方向:
生物医学图像及信号的定量分析方法及应用研究,研究兴趣包括医学信息分析及计算机辅助诊断、自然人机交互、人机融合控制。



科研项目与获奖

科研项目:
[03] 国家自然科学基金青年项目 “面向肿瘤治疗监测的多中心PET/CT影像的定量分析研究”(81201146)结题 主持

[02] 中国博士后特助基金 “基于PET影像动力学参数的肿瘤化疗疗效评估定量化研究”(2013T60454)结题 主持

[01] 中国博士后基金 “针对肿瘤诊断与疗效评估的高效、无创定量分析方法的研究”(20110490741)结题 主持

论文、专著与专利

论文:

SCI学术期刊论文:
[12] Zheng X*, Wei W, Huang Q, et al. Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation[J]. IEEE Journal of Biomedical and Health Informatics, 2018. doi: 10.1109/JBHI.2018.2845879

[11] X. Yang, J. Zhang, Y. Liu, X. Zheng*, and K. Liu, "Super-resolution image reconstruction via fractional-order total variation and adaptive regularization parameters," The Visual Computer,2018.

[10] Zheng X*, Wei W, Huang Q, et al. A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications[J]. Biomed Research International, 2017(12):1962181.

[09] Liu Q, Zheng X, Li P, et al. Cerebral blood perfusion changes in amputees with myoelectric hands after rehabilitation: a SPECT computer-aided analysis[J]. BMC Neuroscience, 2016, 17(1):59.

[08] Wu Y I, Wang H, Zheng X. WSN Localization Using RSS in Three-Dimensional Space—A Geometric Method With Closed-Form Solution[J]. IEEE Sensors Journal, 2016, 16(11):4397-4404.

[07] Yang Z, Zan Y, Zheng X, et al. Dynamic FDG-PET Imaging to Differentiate Malignancies from Inflammation in Subcutaneous and In Situ Mouse Model for Non-Small Cell Lung Carcinoma (NSCLC)[J]. Plos One, 2015, 10(9):e0139089.

[06] Liu B, Yao H, Zheng X, et al. Low regional cerebral blood flow in burning mouth syndrome patients with depression[J]. Oral Diseases, 2015, 21(5):602.

[05] Tian C, Zheng X, Han Y, et al. A semi-automated region of interest detection method in the scintigraphic glomerular filtration rate determination for patients with abnormal low renal function.[J]. Clinical Nuclear Medicine, 2013, 38(11):855-862.

[04] Zheng X*, Wen L, Yu S J, et al. A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of mice[J]. Biomedical Signal Processing & Control, 2012, 7(5):438-446.

[03] Zheng X*, Yu C L, Sha W, et al. Study of an image-derived SUV and a modified SUV using mouse FDG-PET[J]. Nuclear Medicine & Biology, 2011, 38(3):353-62.

[02] Zheng X*, Tian G, Huang S C, et al. A Hybrid Clustering Method for ROI Delineation in Small-Animal Dynamic PET Images: Application to the Automatic Estimation of FDG Input Functions[J]. IEEE Transactions on Information Technology in Biomedicine , 2011, 15(2):195-205.

[01] Hu, X. L., Tong, K. Y., Song, R., Zheng, X. J., & Leung, W. W. A comparison between electromyography-driven robot and passive motion device on wrist rehabilitation for chronic stroke[J]. Neurorehabil Neural Repair, 2009, 23(8):837-846.

EI学术期刊论文:

[02] 敬雪平,郑秀娟*,宋少莉,刘凯. 一种计算机断层图像辅助的肾动态图像感兴趣区自动监测方法[J]. 生物医学工程学杂志,2017,34(6):928-933.
[01] 李莹, 郑秀娟*, 胡学姝. 自适应暗通道先验去雾算法[J]. 工程科学与技术, 2017(s2):224-229.

专著/章节:

[02] 郑秀娟,“第九章:分子影像的定量分析”,中华临床医学影像学-PET与分子影像分册(“十二五”国家重点图书),2015.
[01] Hu X, Song R, Zheng X, et al. "A Novel Continuous Intention-Driven Rehabilitation Robot and Its Training Effectiveness", Biomechatronics in Medicine and Healthcare, 2011.

专利:

授权发明专利:
[02] 郑秀娟,魏文涛,敬雪平,刘凯,苏敏,“全自动肾脏感兴趣区图像提取装置与方法”,ZL 201610579394.X,四川大学
[01] 武岳,王浩,郑秀娟,“基于波达方向歧义消除的定位方法及装置”,ZL 201610705725.X,四川大学
授权实用新型专利:
[01] 郑秀娟,敬雪平,刘凯,“三维成像装置以及三维成像移动终端”,ZL 201621313399.X,四川大学

人才培养

本科课程:
信号与系统、数字图像处理、自动化专业外语

研究生课程:
机器视觉

优秀本科毕业设计:

李莹, 郑秀娟, 胡学姝. 自适应暗通道先验去雾算法[J]. 工程科学与技术, 2017(s2):224-229.