Li Wang
Li Wang
Associate Professor, Director of Developing Brain Computing Lab, UNC-Chapel Hill
Verified email at - Homepage
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Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
Active contours driven by local Gaussian distribution fitting energy
L Wang, L He, A Mishra, C Li
Signal Processing 89 (12), 2435-2447, 2009
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th…, 2014
Medical image synthesis with deep convolutional adversarial networks
D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen
IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018
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
Dynamic development of regional cortical thickness and surface area in early childhood
AE Lyall, F Shi, X Geng, S Woolson, G Li, L Wang, RM Hamer, D Shen, ...
Cerebral cortex 25 (8), 2204-2212, 2015
Fully convolutional networks for multi-modality isointense infant brain image segmentation
D Nie, L Wang, Y Gao, D Shen
2016 IEEE 13Th international symposium on biomedical imaging (ISBI), 1342-1345, 2016
ASDNet: attention based semi-supervised deep networks for medical image segmentation
D Nie, Y Gao, L Wang, D Shen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st…, 2018
LRTV: MR Image Super-Resolution with Low-Rank and Total Variation Regularizations
F Shi, J Cheng, L Wang, PT Yap, D Shen
IEEE Trans. On Medical Imaging, 2015
Estimating CT image from MRI data using 3D fully convolutional networks
D Nie, X Cao, Y Gao, L Wang, D Shen
Deep Learning and Data Labeling for Medical Applications: First…, 2016
The UNC/UMN baby connectome project (BCP): an overview of the study design and protocol development
BR Howell, MA Styner, W Gao, PT Yap, L Wang, K Baluyot, E Yacoub, ...
NeuroImage 185, 891-905, 2019
Estimating CT image from MRI data using structured random forest and auto-context model
T Huynh, Y Gao, J Kang, L Wang, P Zhang, J Lian, D Shen
IEEE transactions on medical imaging 35 (1), 174-183, 2015
Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age
G Li, L Wang, F Shi, AE Lyall, W Lin, JH Gilmore, D Shen
Journal of Neuroscience 34 (12), 4228-4238, 2014
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
L Wang, Y Gao, F Shi, G Li, JH Gilmore, W Lin, D Shen
Neuroimage 108, 160-172, 2015
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
X Zhu, HI Suk, L Wang, SW Lee, D Shen, ...
Medical image analysis 38, 205-214, 2017
Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age
G Li, J Nie, L Wang, F Shi, W Lin, JH Gilmore, D Shen
Cerebral Cortex, 2012
Segmentation of neonatal brain MR images using patch-driven level sets
L Wang, F Shi, G Li, Y Gao, W Lin, JH Gilmore, D Shen
NeuroImage 84 (1), 141-158, 2014
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
L Wang, D Nie, G Li, Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE Transactions on Medical Imaging 38 (9), 2219-2230, 2019
3-D fully convolutional networks for multimodal isointense infant brain image segmentation
D Nie, L Wang, E Adeli, C Lao, W Lin, D Shen
IEEE transactions on cybernetics 49 (3), 1123-1136, 2018
LABEL: pediatric brain extraction using learning-based meta-algorithm
F Shi, L Wang, Y Dai, JH Gilmore, W Lin, D Shen
Neuroimage 62 (3), 1975-1986, 2012
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