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You are here: Home > Core Labs > IDEA Research Lab > members > Dr. Hongjun Jia

Dr. Hongjun Jia

Jia_Bio_Photo_s.JPG

 

Personal Homepage: http://www.unc.edu/~jiahj/

Education:

  • Ph.D., The Ohio State University, Columbus, Ohio, U.S.A., 2009
  • M.E., Tsinghua University, Beijing, China, 2004
  • B.E., Tsinghua University, Beijing, China, 2001

Research Interests: Computer Vision, Machine Learning, Medical Image Processing, Video Analysis and Coding

Software Download:

  • The software package for ABSORB, an effective groupwise registration framework, is available free to download at NITRC and IDEA lab.
  • The software package for MABMIS, a multi-atlas based multi-image segmentation method, is available free to download at NITRC and IDEA lab (soon).

Publications:

  • Shu Liao, Hongjun Jia, Guorong Wu, and Dinggang Shen, " A Novel Framework for Longitudinal Atlas Construction with Groupwise Registration of Subject Image Sequences", accepted for NeuroImage.
  • Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Yaping Wang, and Dinggang Shen, "Directed Graph Based Image Registration'', accepted to MLMI, 2011.
  • Hongjun Jia, Pew-Thian Yap, and Dinggang Shen, "Iterative Multi-Atlas-Based Multi-Image Segmentation with Tree-Based Registration", accepted for NeuroImage.
  • Daoqiang Zhang, Guorong Wu, Hongjun Jia, and Dinggang Shen, "Confidence-Guided Sequential Label Fusion for Multi-Atlas Based Segmentation", in Proc. of MICCAI 2011, Toronto, Canada, Sep. 18-22, 2011.
  • Guorong Wu, Hongjun Jia, Qian Wang, and Dinggang Shen, "SharpMean: Groupwise Registration Guided by Sharp Mean Image and Tree-based Registration", NeuroImage, Vol. 56, No. 4, pp. 1968-1981, 2011.
  • Hongjun Jia, Guorong Wu, Qian Wang, Min-Jeong Kim, and Dinggang Shen, "iTree: Fast and Accurate Image Registration Based on the Combinative and Incremental Tree", in Proc. Of ISBI 2011, Chicago, IL, 2011.

 

Last updated: July 26, 2011

Go to Hongjun Jia's personal page

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