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Plos One|July 12, 2013
4D segmentation of brain MR images with constrained cortical thickness variationLi Wang, Feng Shi, Gang Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2018
ESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTSIslem Rekik, Gang Li, Weili Lin, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 19, 2015
Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of AgeGang Li, Weili Lin, John H Gilmore, et al.
Neuroimage|November 29, 2011
Consistent reconstruction of cortical surfaces from longitudinal brain MR imagesGang Li, Jingxin Nie, Guorong Wu, et al.
Medical Image Analysis|July 29, 2014
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infantsGang Li, Li Wang, Feng Shi, et al.
Medical Image Analysis|December 2, 2020
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepointOlfa Ghribi, Gang Li, Weili Lin, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
Constructing 4D infant cortical surface atlases based on dynamic developmental trajectories of the cortexGang Li, Li Wang, Feng Shi, et al.
Medical Image Analysis|March 19, 2025
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce dataMichalis Pistos, Gang Li, Weili Lin, et al.
Human Brain Mapping|July 7, 2016
Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studiesYu Meng, Gang Li, Yaozong Gao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 31, 2018
Joint Sparse and Low-Rank Regularized MultiTask Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete DataEhsan Adeli, Yu Meng, Gang Li, et al.
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