Chunming Li, IEEE Fellow

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	15216	3886
h-index	31	22
i10-index	44	36

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19 cikk

16 cikk

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Társszerzők

gore j or gore jcVanderbilt University Medical CenterE-mail megerősítve itt: vanderbilt.edu
Zhaohua Ding, PhD, FAIMBEVanderbilt UniversityE-mail megerősítve itt: vanderbilt.edu
Chenyang XuIEEE FellowE-mail megerősítve itt: ieee.org
Chiu-Yen KaoProfessor, Department of Mathematical Sciences, Claremont McKenna CollegeE-mail megerősítve itt: cmc.edu
Changfeng GuiChair Professor, University of MacauE-mail megerősítve itt: um.edu.mo
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillE-mail megerősítve itt: med.unc.edu
James MoonProfessor of Cardiology, Cardiac MRI, cardiovascular imaging, Barts Heart Centre, UCL, QMULE-mail megerősítve itt: moonmail.co.uk
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityE-mail megerősítve itt: cs.rutgers.edu
Rui HuangThe Chinese University of Hong Kong, ShenzhenE-mail megerősítve itt: cuhk.edu.cn
David A Bluemke, MD, PhDUniversity of Wisconsin- MadisonE-mail megerősítve itt: wisc.edu
Chaolu FengCollege of Computer Science and Engineering, Northeastern University, Shenyang, LiaoNing 110819E-mail megerősítve itt: ise.neu.edu.cn
Fang LiEast China Normal UniversityE-mail megerősítve itt: math.ecnu.edu.cn
S osherE-mail megerősítve itt: math.ucla.edu
Kishori M KonwarComputer Science and Al Lab, Massachusetts Inst. of TechnologyE-mail megerősítve itt: mit.edu
Chaomin ShenDept of Computer Science, East China Normal UniversityE-mail megerősítve itt: cs.ecnu.edu.cn
Gregory TasianDivision of Urology and Center for Pediatric Clinical Effectiveness, Children's Hospital ofE-mail megerősítve itt: email.chop.edu
Michael Kwok-Po NgAMS, AAIA, SIAM Fellows, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBUE-mail megerősítve itt: hkbu.edu.hk
Anuj SrivastavaProfessor of Statistics, Florida State UniversityE-mail megerősítve itt: stat.fsu.edu

Követés

Chunming Li, IEEE Fellow

Professor, University of Electronic Science and Technology of China (UESTC)

E-mail megerősítve itt: ieee.org - Kezdőlap

Image Segmentation Computer Vision Image Processing Medical Imaging Applied Mathematics


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	3175	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	2778	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	2320	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	1647	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	1338	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	641	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	544	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	418	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	239	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	173	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	145	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	120	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	116	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	111	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	108	2014
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	98	2021
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	95	2019
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	91	2016
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
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	80	2018

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