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With recent advances in deep learning, neuroimaging studies increasingly rely on convolutional networks (ConvNets) to predict diagnosis based on MR images.
An Introduction to Generalized Linear Models
Dobson, A.J.: · 1990
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The significance of age-related enlargement of the cerebral ventricles in healthy men and women measured by quantitative computed x-ray tomography
Kaye, J.A., DeCarli, C., Luxenberg, J.S., Rapoport, S.I.: · 1992
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Development of cortical and subcortical brain structures in childhood and adolescence: a structural mri study
Sowell, E.R., Trauner, D.A., Gamst, A., Jernigan, T.L.: · 2002
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Introduction to Statistical Mediation Analysis
MacKinnon, D.P.: · 2008
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Esmaeilzadeh, S., Belivanis, D.I., Pohl, K.M., Adeli, E.: · 2018
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Adeli, E., Kwon, D., Zhao, Q., Pfefferbaum, A., Zahr, N.M., Sullivan, E.V., Pohl, K.M.: · 2018
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High-performance medicine: the convergence of human and artificial intelligence
Topol, E.J.: · 2019
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The practical implementation of artificial intelligence technologies in medicine
He, J., Baxter, S.L., Xu, J., Zhou, X., Zhang, K.: · 2019
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