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Chunming Li, IEEE Fellow
Chunming Li, IEEE Fellow
Professor, University of Electronic Science and Technology of China (UESTC)
在 ieee.org 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
31192005
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
26612010
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
22522008
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
15792011
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
13052007
Active contours driven by local Gaussian distribution fitting energy
L Wang, L He, A Mishra, C Li
Signal Processing 89 (12), 2435-2447, 2009
6212009
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
5342009
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
3862014
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
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
2362008
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
Information Processing in Medical Imaging: 21st International Conference …, 2009
1682009
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
1432005
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
1182005
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
1102009
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
1042014
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
882010
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
872014
Radiomic signature as a predictive factor for lymph node metastasis in earlystage cervical cancer
Y Kan, D Dong, Y Zhang, W Jiang, N Zhao, L Han, M Fang, Y Zang, C Hu, ...
Journal of Magnetic Resonance Imaging 49 (1), 304-310, 2019
842019
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
832016
Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer
Y Meng, Y Zhang, D Dong, C Li, X Liang, C Zhang, L Wan, X Zhao, K Xu, ...
Journal of Magnetic Resonance Imaging 48 (3), 605-614, 2018
742018
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set
Y Zhang, J Wu, Y Liu, Y Chen, W Chen, EX Wu, C Li, X Tang
Medical Image Analysis 68, 101884, 2021
672021
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