1. Maenner, M.J., Shaw, K.A., Baio, J., Washington, A., Patrick, M., DiRienzo, M., Christensen, D.L., Wiggins, L.D., Pettygrove, S., Andrews, J.G., Prevalence of autism spectrum disorder among children aged 8 years—autism and devel- opmental disabilities monitoring network, 11 sites, united states, 2016. MMWR Surveillance summaries 69(4), 1. 2020.
2. Dvornek, N.C., Ventola, P., Duncan, J.S. Combining phenotypic and resting-state fmri data for autism classification with recurrent neural networks. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 725–728, 2018. IEEE.
3. Metric learning with spectral graph convolutions on brain connectivity networks
4. Berg, R.v.d., Kipf, T.N., Welling, M. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263. 2017.
5. Yan, Y., Zhu, J., Duda, M., Solarz, E., Sripada, C., Koutra, D. Groupinn: Grouping-based interpretable neural network for classification of limited, noisy brain data. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 772–782. 2019.