Representation learning of resting state functional magnetic resonance imaging using variational autoencoder with convolutional neural network and transformer. Murguia, A., Kim, J., Zhang, Y., Han, K., Wen, Z., Choi, M., Wang, X., Fessler, J. A., & Liu, Z. 2022.
Representation learning of resting state functional magnetic resonance imaging using variational autoencoder with convolutional neural network and transformer [link]Paper  bibtex   
@CONFERENCE{murguia:22:rlo,
 author = {A. Murguia and J-H. Kim and Y. Zhang and K. Han and Z. Wen and M. Choi and X. Wang and J. A. Fessler and Z. Liu},
 title = {Representation learning of resting state functional magnetic resonance imaging using variational autoencoder with convolutional neural network and transformer},
 booktitle = {{CRCNS Mtg.}},
 url = {https://crcns2022atl.gatech.edu/abstract-submission/},
 year = 2022
}

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