Kebin Jia

Summary

Affiliation: Beijing University of Technology
Country: China

Publications

  1. pmc Sparse reconstruction for bioluminescence tomography based on the semigreedy method
    Wei Guo
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Comput Math Methods Med 2012:494808. 2012
  2. doi request reprint Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach
    Jinchao Feng
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Conf Proc IEEE Eng Med Biol Soc 2011:3946-9. 2011
  3. doi request reprint Total variation regularization for bioluminescence tomography with the split Bregman method
    Jinchao Feng
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Appl Opt 51:4501-12. 2012
  4. doi request reprint Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splitting
    Wei Guo
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Appl Opt 51:5676-85. 2012
  5. doi request reprint Three-dimensional bioluminescence tomography based on Bayesian approach
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100190, China
    Opt Express 17:16834-48. 2009
  6. doi request reprint An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
    Med Phys 38:5933-44. 2011
  7. ncbi request reprint An optimal permissible source region strategy for multispectral bioluminescence tomography
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, China
    Opt Express 16:15640-54. 2008
  8. pmc Improved reconstruction quality of bioluminescent images by combining SP(3) equations and Bregman iteration method
    Qiang Wu
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Comput Math Methods Med 2013:767296. 2013
  9. pmc msiDBN: A Method of Identifying Critical Proteins in Dynamic PPI Networks
    Yuan Zhang
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Biomed Res Int 2014:138410. 2014

Collaborators

Detail Information

Publications9

  1. pmc Sparse reconstruction for bioluminescence tomography based on the semigreedy method
    Wei Guo
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Comput Math Methods Med 2012:494808. 2012
    ..Numerical simulations on a mouse atlas, and in vivo mouse experiments were conducted to validate the effectiveness and potential of the method...
  2. doi request reprint Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach
    Jinchao Feng
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Conf Proc IEEE Eng Med Biol Soc 2011:3946-9. 2011
    ..Meanwhile, the effectiveness of utility of the parameter choice were illustrated. Finally, different levels of noisy data were added to validate the performance of the proposed algorithm...
  3. doi request reprint Total variation regularization for bioluminescence tomography with the split Bregman method
    Jinchao Feng
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Appl Opt 51:4501-12. 2012
    ..Experimental results demonstrate that the SBRTV regularization can provide better regularization quality over l2 and l1 regularizations...
  4. doi request reprint Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splitting
    Wei Guo
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Appl Opt 51:5676-85. 2012
    ..Numerical simulations on a mouse atlas and in vivo mouse experiments were conducted to validate the effectiveness and potential of the method...
  5. doi request reprint Three-dimensional bioluminescence tomography based on Bayesian approach
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100190, China
    Opt Express 17:16834-48. 2009
    ..The reconstructed results suggest that we are able to achieve high computational efficiency and accurate localization of bioluminescent source...
  6. doi request reprint An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
    Med Phys 38:5933-44. 2011
    ..To date, the selection of regularization parameters remains challenging. With regards to the above problems, the authors proposed a BLT reconstruction algorithm with an adaptive parameter choice rule...
  7. ncbi request reprint An optimal permissible source region strategy for multispectral bioluminescence tomography
    Jinchao Feng
    The College of Electronic Information and Control Engineering, Beijing University of Technology, China
    Opt Express 16:15640-54. 2008
    ..The results demonstrate the feasibility and potential of our methodology for reconstructing the distribution of bioluminescent sources...
  8. pmc Improved reconstruction quality of bioluminescent images by combining SP(3) equations and Bregman iteration method
    Qiang Wu
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Comput Math Methods Med 2013:767296. 2013
    ..The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP(3) equations and Bregman iteration method...
  9. pmc msiDBN: A Method of Identifying Critical Proteins in Dynamic PPI Networks
    Yuan Zhang
    College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
    Biomed Res Int 2014:138410. 2014
    ..The results of comparison showed that msiDBN had better reconstruction rate and identified more proteins of critical value to yeast cell cycle process. ..