Qingqi Hong Associate professor

Introduction：

Qingqi Hong, male, Associate Professor in Software School, Xiamen University; received his PhD in Computer Science from the University of Hull, UK; research areas include 3D modeling, 3D visualization, Medical image processing. As reviewer of 《Computerized Medical Imaging and Graphics》. Published more than 10 research papers recently of which were in leading journal of Medical Imaging Processing《IEEE Transactions on Medical Imaging》.

Direction：

3D Modelling, Human Organ Modelling, Medical image processing

Student：

Project：

(1)  2016-2018，Natural Science Foundation of China，“Research on patient-specific coronary artery geometry reconstruction and modification using implicit modeling methods”，Host

(2)  2015-2018，Natural Science Foundation of Fujian Province of China，“Research on the Modelling of Patient-Specific Liver Organ based on Implicit Function Method”，Host.

(3)  2015-2017，Scientific Research Foundation for the Returned Overseas Chinese Scholars，“Research on the Reconstruction of Patient-Specific Artery Vessel Wall”，Host.
Paper：

Hong, Q. (洪清启), Li,Y., Li Q., Wang,B., Yao, J., Wu, Q., She, Y., An implicit skeleton-based method for the geometry reconstruction of vasculatures, The Visual Computer. Vol. 32, Issue 10, pp 1251–1262, 2016. (SCI)

Hong, Q. (洪清启), Li, Q., Wang, B., Li, Y., Yao, J., Liu, K., and Wu, Q., 3D vasculature segmentation using localized hybrid level-set method, Biomed Eng Online, vol. 13: 169, 2014.(SCI)

Hong, Q. (洪清启), Wang, B., Li, Q., Li, Y. and Wu, Q., GPU Accelerating Technique for Rendering Implicitly Represented Vasculatures, Bio-Medical Materials and Engineering, vol. 14, no 1, pp. 1351-1357, 2014. (SCI)

Hong, Q.* (洪清启), Li, Q., and Tian, J., Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines, IEEE Transactions on Medical Imaging, vol. 31, no. 3, pp. 543-553, 2012. (SCI)

Hong, Q. (洪清启) and Wang, B., 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)

Hong, Q. * (洪清启), 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)

Hong, Q.* (洪清启), et al., A Survey on the Visualization and Reconstruction of Vasculatures, In proceedings of 5th International Conference on Graphic and Image Processing, Hong Kong, October 2013. (EI)

Hong, Q.* (洪清启), Chen, L., Wang, B., and Wu, Q., The Extraction of Vascular Axis Based on Signed Distance Function, In proceedings of 5th International Conference on Graphic and Image Processing, Hong Kong, October, 25-27, 2013. (EI)

Hong, Q.* (洪清启), Li, Q. (Qingde Li), and Tian, J., Virtual Angioscopy based on Implicit Vasculatures, Lecture Note in Computer Science (LNCS), vol. 6785, pp. 592-603, 2011. (EI)

Hong, Q.* (洪清启), Li, Q. (Qingde Li), and Tian, J., Local Hybrid Level-set Method for MRA Image Segmentation, In proceedings of 10th IEEE International Conference on Computer and Information Technology, pp. 1397 - 1402, Braford, UK, June, 2010. (EI)

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