Li Wang

Affiliations: 
2010-2015 Radiology University of North Carolina, Chapel Hill, Chapel Hill, NC 
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"Li Wang"
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Publications

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Sun Y, Wang L, Li G, et al. (2024) A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks. Nature Biomedical Engineering
Zhong T, Wang Y, Xu X, et al. (2024) A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 116: 102404
Zhong T, Wu X, Liang S, et al. (2024) nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. Neuroimage. 120652
Xia J, Wang F, Wang Y, et al. (2023) Longitudinal mapping of the development of cortical thickness and surface area in rhesus macaques during the first three years. Proceedings of the National Academy of Sciences of the United States of America. 120: e2303313120
Jiang W, Zhou Z, Li G, et al. (2023) Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life. Developmental Cognitive Neuroscience. 63: 101284
Huang Y, Ahmad S, Han L, et al. (2023) Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. Pattern Recognition. 143
Wang L, Wu Z, Chen L, et al. (2023) iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction. Nature Protocols
Chen L, Wu Z, Zhao F, et al. (2023) An Attention-based Context-informed Deep Framework for Infant Brain Subcortical Segmentation. Neuroimage. 119931
Zeng Z, Zhao T, Sun L, et al. (2022) 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images. Human Brain Mapping
Ma L, Lian C, Kim D, et al. (2022) Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Analysis. 83: 102644
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