个人简介
教育经历
2005.9-2008.7 南京理工大学，模式识别与智能系统，博士
2002.9-2005.7 南京信息工程大学，应用数学，硕士
1998.9-2002.7 南京气象学院，计算数学及其应用软件，学士
工作经历
2005.7-2007.8 南京信息工程大学，助教
2007.8-2011.4 南京信息工程大学，讲师
2011.4-2017.7 南京信息工程大学，副教授
2017.7- 南京信息工程大学，教授
2010.9-2011.2 西苏格兰大学，访问学者
2015.9-2016.2 成均馆大学，访问学者
近期论文
查看导师最新文章
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Chen Y, Zhang H, Zheng Y, et al. An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation. Pattern Recognition, 2016, 60:778-792. （SCI）
Chen Y, Zhan T, Zhang J, et al. Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images. BioMed Research International, 2016,（SCI）
Chen Y, Li J，Zhang H，et.al. Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation[J], IET Image Processing, doi: 10.1049/iet-ipr.2016.0271（SCI）
Chen Y, Xu Q, Zheng YH, et al. Simultaneous Intensity inhomogensity correction, Registration and Segmentation of Anatomical Structures from Brain MR images. International Journal of Signal Processing Image Processing & Pattern Recognition,, 2016, 9(5):357-372. （EI）
Chen Y, Wang Z, Wang J, et al. Brain MRI Segmentation and Bias Estimation via an Improved Non-Local Fuzzy Method. International Journal of Grid & Distributed Computing, 2015, 8(1):1-23. （EI）
Yunjie Chen, Bo Zhao, Jianwei Zhang, Yuhui Zheng, Automatic segmentation for brain MR images via a convex optimizedsegmentation and bias field correction coupled model, Magnetic Resonance Imaging，2014，32(8):941-55（SCI）
Yunjie Chen, Bo Zhao, Jianwei Zhang, Jin Wang and Yuhui Zheng, An Improved Gaussian Mixture Model based on NonLocal Information for Brain MR Images Segmentation, International Journal of Signal Processing, Image Processing and Pattern Recognition,2014,7(4):187-94(EI)
Yunjie Chen, Bo Zhao, Jianwei Zhang, Yuhui Zheng, Jin Wang, An Improved Method for Cortical Surface Identification based on Local Information , International Journal of Signal Processing, Image Processing and Pattern Recognition, 2013,. 6(4):467-474(EI)
Yunjie Chen，Jianwei Zhang，Shunfeng Wang，Yuhui Zheng，Brain magnetic resonance image segmentation based on an adapted non-local fuzzy c-means method，IET Computer Vision, 2012，16（4）：610-625（SCI）
Yunjie Chen，Jianwei Zhang, Jianwei Yang，An anisotropic Images Segmentation and Bias Correction Method，Magnetic Resonance Imaging，2012，30(1):85-95（SCI）
Yunjie Chen, Jin Wang, Lin Fang, Jianwei Zhang, Yuhui Zheng, An Improved Medical Image Registration Method, International Journal of Hybrid Information Technology, 2012, 5(2):153-158(EI)
Yunjie Chen，Jianwei Zhang, Arabinda Mishra, Jianwei Yang，Image segmentation and bias correction via an improved level set method，Neurocomputing, 2011,74(17):3520-3530（SCI）
Yunjie Chen，Jianwei Zhang, Jim, An improved level set method for brain MR images segmentation and bias correction, Computerized Medical Imaging and Graphics, 2009,33,(7) ：510-519（SCI）
Yunjie Chen，Jianwei Zhang, Shunfeng Wang, A new fast chinese visible human brain skull stripping method, 2009 2nd International Congress on image and signal processing, 2009.10（EI）
Yunjie Chen，Jianwei Zhang, Shunfeng Wang, A new fast brain skull stripping method, 2009 2nd International Congress on biomedical engineering and informatics, 2009.10（EI）
Yunjie Chen，Pingan Wang, Deshen Xia, Chinese Visible Human Brain image segmentation, The 2008 International Congress on image and signal processing, 2008.5（EI）
Tianming Zhan, Jun Zhang, Liang Xiao, Yunjie Chen, Zhihui Wei, An improved variational level set method for MR image segmentation and bias field correction , Magnetic Resonance Imaging, 31(3), 2013:439-447(SCI)
Li Wang, Yunjie Chen, Xiaohua Pan, Xunning Hong, Deshen Xia ，Level set segmentation of brain magnetic resonance images based on local Gaussian distribution fitting energy. Journal of Neuroscience Methods, 2010, 188(2): 316-325(SCI)
Jing-Zhi Meng, Li-Wei Guo , Hong Cheng , Yun-Jie Chen, Lin Fang , Ming Qi , Zhen-Yu Jia ,Wasif Mohammeda, Xun-Ning Hong, Correlation between cognitive function and the association fibers in patients with Alzheimer’s disease using diffusion tensor imaging, Journal of Clinical Neuroscience, 2012,(19) 1659–1663(SCI)
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