个人简历
陈颖博士于1998年获得南京大学电路与系统本科学位，2003年获得声学博士学位。他的主要研究集中在生物医学信号处理和图像处理。2005到2006年，他收到法中应用基金会（FFCSA)的资助，在法国高等电力专科学校（supelec）进行了1年的博士后工作。2015年陈颖博士收到国家留学基金委资助，前往美国哈佛大学医学院作为访问学者工作1年。工作以来，他主持和参与了多项与房颤相关的项目，目前的研究兴趣包括了医学信号处理，图像处理，深度学习等。他的论文涵盖了医学和图像深度学习等多个领域。
代表成果
1.Chen Ying, Ning xinbao, Wang Zhenzhou, Xue longzeng, Wang Yelin, etc. Dynamical Correlation Dimension Analysis of Heart Electric Activities. Journal of Nanjing University (Natural Sciences) 2002; 38(1):20~28. 2.Chen Ying, Ning Xinbao, Wang Jun. Dynamical Analysis of the Nonlinearity in the Model of Acute Myocardial Ischemia. Journal of biomedical engineering 2004; 21(5):770-774. 3.Chen Ying, Ning Xinbao, Wang Jun. Dynamical correlation dimension of acute myocardial infarction, Chinese Journal of Biomedical Engineering 2005; 24(3): 381-384. 4.Chen, Y.; Nash, M.P.; Ning, X.; Wang, Y.; Paterson, D.J.; Wang, J., The SARD variety of multifractality of ventricular epicardial mapping during ischemia, Chinese Science Bulletin 2006; 51( 7) : 809 – 814. 5.Chen, Y.; Nash, M.P.; Ning, X.; Wang, Y.; Paterson, D.J.; Wang, J., Multifractal ECG Mapping of Ventricular Epicardium During Regional Ischemia in the Pig, IEEE Transactions on Biomedical Engineering 2006; 53(10): 1920 – 1925. 6.Ying Chen, Zhong Wu, Cuiwei Yang, Jun Shao, Kelvin Kian Loong Wong, Derek Abbott. Investigation of Atrial Vulnerability by Analysis of the Sinus Node EG From Atrial Fibrillation Models Using a Phase Synchronization Method. IEEE Transactions on Biomedical Engineering 2012; 59(9): 2668-2676. 7.Yudan Huang, Ying Chen, Haochuan Zhu, Weifeng Li, Yun Ge, Xiaolin Huang, Jian He,A liver fibrosis staging method using cross-contrast network,Expert Systems with Applications 2019; 130: 124-131. 8.Yunzhong Wang, Ziying Xu, Siyue Bai, Qiyuan Wang, Ying Chen, Weifeng Li, Xiaoling Huang & Yun Ge (2020) Intelligent painting identification based on image perception in multimedia enterprise, Enterprise Information Systems, DOI: 10.1080/17517575.2020.1755456 9.Qiyuan Wang, Zhongmin Wang, Yu Sun, Xin Zhang, Weifeng Li, Yun Ge, Xiaolin Huang, Yun Liu, Ying Chen. SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network. IEEE Access. 2020. vol. 8, pp. 85271-85283.
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