Chunming Li
Chunming Li
Professor in University of Electronic Science and Technology of China (UESTC)
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Level set evolution without re-initialization: a new variational formulation
C Li, C Xu, C Gui, MD Fox
2005 IEEE computer society conference on computer vision and pattern …, 2005
28662005
Distance regularized level set evolution and its application to image segmentation
C Li, C Xu, C Gui, MD Fox
IEEE transactions on image processing 19 (12), 3243-3254, 2010
21622010
Minimization of region-scalable fitting energy for image segmentation
C Li, CY Kao, JC Gore, Z Ding
IEEE transactions on image processing 17 (10), 1940-1949, 2008
19902008
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
C Li, R Huang, Z Ding, JC Gatenby, DN Metaxas, JC Gore
IEEE transactions on image processing 20 (7), 2007-2016, 2011
13362011
Implicit active contours driven by local binary fitting energy
C Li, CY Kao, JC Gore, Z Ding
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007
11432007
Active contours driven by local Gaussian distribution fitting energy
L Wang, L He, A Mishra, C Li
Signal Processing 89 (12), 2435-2447, 2009
5332009
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
L Wang, C Li, Q Sun, D Xia, CY Kao
Computerized medical imaging and graphics 33 (7), 520-531, 2009
4722009
Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation
C Li, JC Gore, C Davatzikos
Magnetic resonance imaging 32 (7), 913-923, 2014
2892014
A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity
C Li, R Huang, Z Ding, C Gatenby, D Metaxas, J Gore
International Conference on Medical Image Computing and Computer-Assisted …, 2008
2102008
MRI tissue classification and bias field estimation based on coherent local intensity clustering: A unified energy minimization framework
C Li, C Xu, AW Anderson, JC Gore
International conference on information processing in medical imaging, 288-299, 2009
1522009
Segmentation of external force field for automatic initialization and splitting of snakes
C Li, J Liu, MD Fox
Pattern recognition 38 (11), 1947-1960, 2005
1322005
Segmentation of edge preserving gradient vector flow: an approach toward automatically initializing and splitting of snakes
C Li, J Liu, MD Fox
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
1132005
A robust parametric method for bias field estimation and segmentation of MR images
C Li, C Gatenby, L Wang, JC Gore
2009 IEEE Conference on Computer Vision and Pattern Recognition, 218-223, 2009
1022009
Abnormal cardiac formation in hypertrophic cardiomyopathy: fractal analysis of trabeculae and preclinical gene expression
G Captur, LR Lopes, V Patel, C Li, P Bassett, P Syrris, DM Sado, ...
Circulation: Cardiovascular Genetics 7 (3), 241-248, 2014
732014
Split Bregman method for minimization of region-scalable fitting energy for image segmentation
Y Yang, C Li, CY Kao, S Osher
International Symposium on Visual Computing, 117-128, 2010
732010
Fast distance preserving level set evolution for medical image segmentation
C Li, C Xu, KM Konwar, MD Fox
2006 9th International Conference on Control, Automation, Robotics and …, 2006
642006
Prediction of sarcomere mutations in subclinical hypertrophic cardiomyopathy
G Captur, LR Lopes, TJ Mohun, V Patel, C Li, P Bassett, G Finocchiaro, ...
Circulation: Cardiovascular Imaging 7 (6), 863-871, 2014
572014
Distance regularized two level sets for segmentation of left and right ventricles from cine-MRI
Y Liu, G Captur, JC Moon, S Guo, X Yang, S Zhang, C Li
Magnetic resonance imaging 34 (5), 699-706, 2016
552016
Brain MR image segmentation using local and global intensity fitting active contours/surfaces
L Wang, C Li, Q Sun, D Xia, CY Kao
International Conference on Medical Image Computing and Computer-Assisted …, 2008
532008
Material nucleation/growth competition tuning towards highly reproducible planar perovskite solar cells with efficiency exceeding 20%
B Ding, Y Li, SY Huang, QQ Chu, CX Li, CJ Li, GJ Yang
Journal of Materials Chemistry A 5 (15), 6840-6848, 2017
482017
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Articles 1–20