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 | 3142 | 2005 |
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 | 2694 | 2010 |
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 | 2281 | 2008 |
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 | 1603 | 2011 |
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 | 1314 | 2007 |
Active contours driven by local Gaussian distribution fitting energy L Wang, L He, A Mishra, C Li Signal processing 89 (12), 2435-2447, 2009 | 628 | 2009 |
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 | 537 | 2009 |
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 | 400 | 2014 |
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 | 237 | 2008 |
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 | 170 | 2009 |
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 | 143 | 2005 |
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 | 119 | 2005 |
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 | 113 | 2014 |
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 | 110 | 2009 |
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 | 97 | 2014 |
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 | 89 | 2019 |
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 | 87 | 2010 |
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 | 84 | 2016 |
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 | 80 | 2021 |
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 | 76 | 2018 |