Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period

Yuda Bi; Vince D. Calhoun; Anees Abrol; Zening Fu; Jiayu Chen; Jingyu Liu

doi:10.1016/j.jneumeth.2022.109744

Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period

Yuda Bi(Georgia Institute of Technology), Vince D. Calhoun(Center for Translational Research in Neuroimaging and Data Science), Anees Abrol(Georgia Institute of Technology), Zening Fu(Mind Research Network), Jiayu Chen(Center for Translational Research in Neuroimaging and Data Science), Jingyu Liu(Georgia State University)

Journal of Neuroscience Methods

November 15, 2022

10.1016/j.jneumeth.2022.109744

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Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year period

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