Deep Variational Autoencoder for Mapping Functional Brain Networks

In the neuroimaging and brain mapping communities, researchers have proposed a variety of computational methods to map functional brain networks (FBNs). Recently, it has been proven that deep learning (DL) can be applied on functional magnetic resonance image (fMRI) data with superb representation power over the traditional machine learning methods. However, due to the lack of labeled data and the...