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Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates
Mengting Liu, Sharon Kim, Ben Duffy, Shiyu Yuan, James H. Cole, View ORCID ProfileArthur W. Toga, Neda Jahanshad, Anthony James Barkovich, Duan Xu, Hosung Kim
doi: https://doi.org/10.1101/2021.05.15.444320
Mengting Liu
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
Sharon Kim
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
Ben Duffy
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
Shiyu Yuan
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
James H. Cole
2Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
Arthur W. Toga
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
Neda Jahanshad
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
Anthony James Barkovich
3Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA
Duan Xu
3Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA
Hosung Kim
1Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA
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Posted May 17, 2021.
Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates
Mengting Liu, Sharon Kim, Ben Duffy, Shiyu Yuan, James H. Cole, Arthur W. Toga, Neda Jahanshad, Anthony James Barkovich, Duan Xu, Hosung Kim
bioRxiv 2021.05.15.444320; doi: https://doi.org/10.1101/2021.05.15.444320
Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates
Mengting Liu, Sharon Kim, Ben Duffy, Shiyu Yuan, James H. Cole, Arthur W. Toga, Neda Jahanshad, Anthony James Barkovich, Duan Xu, Hosung Kim
bioRxiv 2021.05.15.444320; doi: https://doi.org/10.1101/2021.05.15.444320
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