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Learning Optimal White Matter Tract Representations from Tractography using a Deep Generative Model for Population Analyses

2022-08-02

Abstract excerpt

<h4>ABSTRACT</h4> Whole brain tractography is commonly used to study the brain’s white matter fiber pathways, but the large number of streamlines generated - up to one million per brain - can be challenging for large-scale population studies. We propose a robust dimensionality reduction framework for tractography, using a Convolutional Variational Autoencoder (ConvVAE) to learn low-dimensional embeddings from whi...

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Literature Corpus work
f4ac9ab8-c7c0-5a70-b811-895141bcec94
DOI
10.1101/2022.07.31.502227
Open publication

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Learning Optimal White Matter Tract Representations from Tractography using a Deep Generative Model for Population AnalysesDOI 10.1101/2022.07.31.502227
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