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段玉萍

段玉萍

职称:
教授
院系:
应用数学中心
电子邮箱:
yuping.duan@tju.edu.cn
办公地点:
卫津路校区6教206

研究方向

数值偏微分方程;图像处理;医学图像处理

教育背景

2003.09 - 2007.06 北京交通大学 学士
2007.09 - 2011.06 新加坡南洋理工大学 博士

工作经历

2011.10 - 2011.12 新加坡南洋理工大学 博士后
2012.09 - 2015.06 新加坡科技研究局资讯通信研究院 一级研究科学家
2015.04 - 2015.10 新加坡科技研究局资讯通信研究院 二级研究科学家
2015.08 - 2016.03 天津大学应用数学中心 副教授
2016.04 -  今 天津大学应用数学中心 教授
 

教学工作

指导在读硕士生5人

科研工作

2018.1-2020.12 国家自然科学基金青年基金项目,图像分割变分模型的非重叠型区域分解算法研究,主持
2016.6-2019.6 中组部青年千人计划引进人才科研启动经费,主持

主要荣誉

学术兼职

其它

发表论文

  • 1.H Chang, W Huang, C Wu, S Huang, C Guan, S Sekar, K Bhakoo and Y Duan*, A new variational method for bias correction and its applications to rodent brain extraction, IEEE Transactions on Medical Imaging, 36(2)(2017), 721-733.

  • 2.Y Duan, W Huang, H Chang, W Chen, J Zhou, S K Teo, Y Su, C K Chui and S Chang, “Volume preserved mass-spring model with novel constraints for soft tissue deformation”, IEEE Journal of Biomedical and Health Informatics, 20(1): 268-280, 2016

  • 3.Y Duan, H Chang and X-C Tai, “Convergent non-overlapping domain decomposition methods for variational image segmentation”, Journal of Scientific Computing, 69(2): 532-555, 2016

  • 4.H Cui, D Wang, M Wan, J Zhang, X Zhao, R Tan, W Huang, W Xiong, Y Duan, J Zhou, T Luo, G Kassab and L Zhong, “Fast martching and Runge-Kutta based method for centerline extraction of right coronary artery in human patients”, Cardiovascular Engineering and Technology, 7(2): 159-169, 2016

  • 5.Y Duan, H Chang, W Huang, J Zhou, Z Lu and C Wu, “The L0 regularized Mumford-Shah model for bias correction and segmentation of medical images”, IEEE Transactions on Image Processing, 24(11): 3927-3938, 2015

  • 6.Y Duan, H Chang, W Huang and J Zhou, ”Simultaneous bias correction and image segmentation via L0 regularized Mumford-Shah model", 2014 IEEE International Conference on Image Processing (ICIP), 6-40, 2014, oral

  • 7.Y Duan, W Huang, J Zhou, H Chang and T Zeng, ”A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model", 2014 22nd International Conference on Pattern Recognition (ICPR), 118-123, 2014, oral

  • 8.Y Duan and W Huang, “A fixed-point augmented Lagrangian method for total variation minimization problems”, Journal of Visual Communication and Image Representation, 24(7): 1168-1181, 2013

  • 9.Y Duan,Y Wang and J Hahn, “A fast augmented Lagrangian method for Euler’s elastica models”, Numerical Mathematics-Theory, Methods and Applications, 6(1): 47-71, 2013

  • 10.Y Duan, W Huang, H Chang, KK Toe, T Yang, J Zhou, J Liu, SK Teo, CW Lim, Y Su, CK Chui and S Chang, Synchronous simulation for deformation of liver and gallbladder with stretch and compression compensation, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4941-4944, 2013

  • 11.Y Duan, W Huang, H Chang, W Chen, KK Toe, J Zhou, T Yang, J Liu, SK Teo, CW Lim, Y Su, CK Chui and S Chang, ”Modeling and simulation of soft tissue deformation", Abdominal Imaging. Computation and Clinical Applications, pp.221-230, 2013

  • 12.Y Duan and X-C Tai, “Domain decomposition methods with graph cuts algorithms for total variation minimization”, Advances in Computational Mathematics, 36(2): 175-199, 2012

  • 13.C Wu, J Zhang, Y Duan and X-C Tai, “Augmented Lagrangian method for total variation based image restoration ans segmentation over triangulated surfaces”, Journal of Scientific Computing, 50(1): 145-166, 2012

  • 14.Y Duan, W Huang and H Chang, ”Shape prior regularized continuous max-flow approach to image segmentation", 2012 21st International Conference on Pattern Recognition (ICPR), 2516-2519, 2012

  • 15.X-C Tai and Y Duan, “Domain decomposition methods with graph cuts algorithms for image segmentation”, International Journal of Numerical Analysis and Modeling, 8(1): 137-155, 2011

  • 16.Y Duan, Y Wang, XC Tai and J Hahn, A Fast Augmented Lagrangian Method for Euler's Elastica Model, International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 144-156, 2011

联系我们

地址:天津市海河教育园区雅观路135号32号教学楼,300350
邮箱:maths@tju.edu.cn
电话:+86 (0)22 27402850
传真:+86 (0)22 27402850

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