Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting
Yixue Feng,
Bramsh Q. Chandio,
Sophia I. Thomopoulos
et al.
Abstract:White matter tracts generated from whole brain tractography are often processed using automatic segmentation methods with standard atlases. Atlases are generated from hundreds of subjects, which becomes time-consuming to create and difficult to apply to all populations. In this study, we extended our prior work on using a deep generative model -a Convolutional Variational Autoencoder -to map complex and data-intensive streamlines to a low-dimensional latent space given a limited sample size of 50 subjects from… Show more
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