Author

Eric A. Maltbie

Georgia Institute of TechnologyORCID 0000-0003-2489-9674Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Assay:imaging· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

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Shella Dawn KeilholziD· 1 shared Xiaodi ZhangiD· 1 shared

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2021-2021 · peak 1/yr

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Shella Dawn KeilholzORCID

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NeuroscienceNeuroImagePeer-reviewedOct 1, 2021

Spatiotemporal Trajectories in Resting-state FMRI Revealed by Convolutional Variational Autoencoder

Xiaodi Zhang, Eric A. Maltbie, Shella Dawn Keilholz

This study uses a convolutional variational autoencoder to model spatiotemporal trajectories in resting-state fMRI data, revealing a small number of orthogonal patterns that capture key features of brain activity.

23 citations

imagingvariational autoencoder

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