中文版 | English
Chunming Li

Professor of Electrical Engineering (UESTC)
IEEE Fellow
Ph.D. in Electrical Engineering (UConn)
M.S. in Mathematics (Fudan)

Publications | ResearchGoogle Scholar Profile Award | Professional activities | Collaborators | Software | Contact me | Personal
 
Selected Publications (with 11100+ citations since 2006)                                    

Research themes: computer vision,medical image computing,image segmentation,3D reconstruction,applied mathematics...

Representative publications and code (in Matlab/C/C++)

  1. C. Li, C. Xu, C. Gui, and M. D. Fox, " Distance Regularized Level Set Evolution and its Application to Image Segmentation ", IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254, 2010
    ( pdf, Code, BibTex, 2028+ citations , website IEEE Signal Processing Society Best Paper Award)
  2. C. Li, R. Huang, Z. Ding, C. Gatenby, D. N. Metaxas, and J. C. Gore,  " A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities with Application to MRI ", IEEE Trans. Image Processing, vol. 20 (7), pp. 2007-2016, 2011.
    ( pdf, code, BibTex, 1215+ citations , website)
  3. C. Li, J.C. Gore, and C. Davatzikos, " Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation ", Magnetic Resonance Imaging , vol. 32 (7), pp. 913-923, 2014
    ( pdf, Code, BibTex, 260+ citations , website)     
  4. C. Li, C. Kao, J. C. Gore, and Z. Ding,  " Minimization of Region-Scalable Fitting Energy for Image Segmentation ", IEEE Trans. Image Processing, vol. 17 (10), pp. 1940-1949, 2008.
    ( pdf, code, BibTex, website,1885+ citations IEEE Signal Processing Society Best Paper Award)
  5. C. Li, C. Xu, A. W. Anderson, and J. C. Gore, "MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework". IPMI 2009.
    ( pdf, Email request for the code, BibTex, website)
  6. C. Li, C. Gatenby, L. Wang, and J. C. Gore, " A Robust Parametric Method for Bias Field Estimation and Segmentation of MR Images", CVPR 2009
    ( pdf, Email request for the code, BibTex, website)
  7. C. Li, F. Li, C. Kao, and C. Xu, "Image Segmentation with Simultaneous Illumination and Reflectance Estimation: An Energy Minimization Approach", ICCV 2009.
    ( pdf, BibTex, website)
  8. C. Li, R. Huang, Z. Ding, C. Gatenby, D. N. Metaxas, and J. C. Gore, "A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity", MICCAI 2008. (Oral presentation), 
    ( pdf, BibTex, PPT slides)
  9. C. Li, C. Kao, J. C. Gore, and Z. Ding, "Implicit Active Contours Driven by Local Binary Fitting Energy", CVPR 2007 .
    ( pdf, BibTex, 1088+ citations )
  10. C. Li, C. Xu, C. Gui, and   M. D. Fox, "Level Set Evolution Without Re-initialization: A New Variational Formulation", CVPR 2005. (Oral presentation).
    ( pdf , BibTex, 2780+ citations Note: The method in this paper was improved and generalized in our DRLSE paper.
  11. C. Li, J. Liu, and M. D. Fox, "Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes", CVPR 2005.
    ( pdf, BibTex, Demos)

Recent publications

  1. X. Shi, C. Li, " Convexity preserving level set for left ventricle segmentation ", Magnetic Resonance Imaging, vol. 78, pp. 109-118, 2021
  2. Y. Zhang, ...,C. Li, X. Tang, " A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set ", Medical Image Analysis, 2021
  3. G. Captur , ...,C. Li , ...,M. G. Friedrich ,J. C. Moon, " Community delivery of semiautomated fractal analysis tool in cardiac mr for trabecular phenotyping ", Journal of Magnetic Resonance Imaging, vol. 46(4), pp. 1082-1088, October, 2017
  4. C. Captur, ..., C. Li, ..., J. C. Moon, " Fractal Analysis of Myocardial Trabeculations in 2547 Study Participants: Multi-Ethnic Study of Atherosclerosis ", Radiology,vol. 277(3), pp. 707-715, 2015