厦门大学软件学院导师介绍：洪清启

  洪清启 副教授
  hongqq@xmu.edu.cn
  教育背景．．．．．．．．．．．．．．．．．．．．
  Ph.D. 英国赫尔大学 计算机科学系 2012.4
  M.S. 厦门大学 软件学院 2008.7
  B.S. 福州大学 计算机科学与技术系 2005.7
  工作经历．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  2012年9月至今 厦门大学软件学院
  研究领域．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  计算机图形学、医学图像处理、虚拟器官建模、模式识别、生物信息学、GPU计算
  演讲/授课．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  C/C++程序设计、数据结构与算法、IT项目管理、GPU编程技术、图形程序设计等
  学术任职 ．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  SCI期刊 “Computerized Medical Imaging and Graphics” 审稿人
  SCI期刊 ”Computers in Biology and Medicine” 审稿人
  国际会议 ”MICCAI”、”ICVRV” 审稿人
  科研项目 ．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  国家自然科学基金，“基于隐式建模方法的个性化冠状动脉几何模型重建与再塑研究”，主持
  福建省自然科学基金，“基于隐函数建模方法的个体化虚拟肝脏模型重建研究”，主持
  教育部留学回国人员科研启动基金，“基于隐式建模方法的个体化动脉血管壁重建研究”，主持
  横向课题，“人脸识别模型研究与应用系统开发”， 主持
  近期发表文章．．．．．．．．．．．．．．．．．．．．．．．．．．．．．
  Qingqi Hong(1), et al. Implicit reconstruction of vasculatures using bivariate piecewise algebraic splines. IEEE Transactions on Medical Imaging, Vol. 31(3), 543-553, 2012. (SCI期刊，IF：4.027)
  Qingqi Hong(1), et al. An implicit skeleton-based method for the geometry reconstruction of vasculatures. The Visual Computer. Volume 32, Issue 10, pp 1251–1262,2016 (SCI期刊，IF：1.06)
  Qingqi Hong(1), et al. 3D vasculature segmentation using localized hybrid level-set method, BioMedical Engineering Online, vol. 13, 2014. (SCI期刊，IF：1.746)
  Qingqi Hong(1), et al. GPU Accelerating Technique for Rendering Implicitly Represented Vasculatures, Bio-Medical Materials and Engineering, vol. 14, no 1, pp. 1351-1357, 2014. (SCI期刊，IF：1.09)
  Qingqi Hong(3), et al., Topic evolution based on LDA and HMM and its application in stem cell research，Journal of Information Science, vol 40, no 5, pp. 611-620, 2014. (SCI期刊，IF：1.23)
  Qingqi Hong(1), et al., A Skeleton-based Technique for Modeling Implicit Surfaces, In proceedings of 6th International Congress on Image and Signal Processing , pp. 686-691, Hangzhou, China, December 2013. (EI会议)
  Qingqi Hong(1), et al., Segmentation of Vessel Images Using a Localized Hybrid Level-set Method, In proceedings of 6th International Congress on Image and Signal Processing , pp. 631 – 635, Hangzhou, China, December 2013. (EI会议)
  Qingqi Hong(1), et al. The Extraction of Vascular Axis Based on Signed Distance Function, 5th International Conference on Graphic and Image Processing (ICGIP 2013), 2013. （EI会议）
  Qingqi Hong(1), et al . A Survey on the Visualization and Reconstruction of Vasculatures, 5th International Conference on Graphic and Image Processing (ICGIP 2013), 2013 （EI会议）
  Qingqi Hong(1), et al. Virtual Angioscopy based on implicit vasculatures. Lecture Note in Computer Science 6785, 2011. (EI会议)
  Qingqi Hong(1), et al. Local Hybrid Level-set Method for MRA Image Segmentation. In the Proc. of the 10th IEEE International Conference (CIT-2010), 2010. (EI会议)
  Qingqi Hong(1), et al. An improved approach for Image Retrieval Based on Generalized Co-occurrence matrix. Journal of Computational Information System, 2008. (EI期刊)