Deep learning based automatic diagnoses of attention deficit hyperactive disorder

IEEE Global Conference on Signal and Information Processing, pp. 962-966, 2017.

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Abstract:

In this paper, we aim to develop a deep learning based automatic Attention Deficit Hyperactive Disorder (ADHD) diagnosis algorithm using resting state functional magnetic resonance imaging (rs-fMRI) scans. However, relative to millions of parameters in deep neural networks (DNN), the number of fMRI samples is still limited to learn discri...More

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