BioinformaticsNeuroinformaticsPeer-reviewed
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis
Shenjun Zhong, Zhaolin Chen, Gary F. Egan
The paper introduces an atlas-free method using a deep recurrent auto-encoder to parcellate tractograms by learning latent streamline embeddings for unsupervised clustering and sub-bundle analysis.
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