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Publications

  • S. Salsabilian and L. Najafizadeh, “A Variational Encoder Framework for Decoding Behavior Choices from Neural Data,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.
  • S. Salsabilian and L. Najafizadeh, “Classifying Mild Traumatic Brain Injury via Frequency-Specified Graph Features of Brain Functional Networks,” submitted to Journal of Neural Engineering (JNE), 2021.
  • S. Salsabilian and L. Najafizadeh, “An Adversarial Variational Autoencoder Approach Toward Transfer Learning in mTBI Identification”, 10th International IEEE EMBS Conference on Neural Engineering (NER), May 2021.
  • S. Salsabilian and L. Najafizadeh, “Mild Traumatic Brain Injury Networks Classification via Topological Graph Embedding and 2D Convolutional Neural Networks”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020.
  • S. Salsabilian, E. Bibineyshvili, D. J. Margolis and L. Najafizadeh, “Study of Functional Network Topology Alterations after Injury via Embedding Methods,”, OSA Biomedical Optics Meeting, Fort Lauderdale, FL, Apr.2020.
  • S. Salsabilian, C. R. Lee, D. J. Margolis, and L. Najafizadeh, “Identifying Task-Related Brain Functional States via Cortical Networks”, IEEE International Symposium on Circuits and Systems (ISCAS), Spain, May 2020.
  • S. Salsabilian, E. Bibineyshvili, D. J. Margolis and L. Najafizadeh, “Quantifying Changes in Brain Function Following Injury Via Network Measures”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Germany, July 2019.
  • S. Salsabilian, C. R. Lee, D. J. Margolis, and L. Najafizadeh, “Using Connectivity to Infer Behavior from Cortical Activity Recorded through Widefield Transcranial Imaging”, OSA Biomedical Optics Meeting, FL, 2018.
  • K. Slavakis, S. Salsabilian, D. S. Wack, S. F. Muldoon, et.al., “Clustering Brain-Network Time Series by Riemannian Geometry”, IEEE Transaction on Signal and Information Processing over Networks Vol. 4, Issue 3, pp. 519-533, 2018.
  • K. Slavakis, S. Salsabilian, D. S. Wack, S. F. Muldoon, et.al., “Riemannian multi-manifold modeling and clustering in brain networks”, Wavelets and Sparsity XVII, SPIE Optics + Photonics, Volume 10394, pp. 103940B, 2017.
  • K. Slavakis, S. Salsabilian, D. S. Wack, S. F. Muldoon, et.al., “Clustering time-varying connectivity networks by Riemannian geometry: The brain-network case.”, Statistical Signal Processing (SSP), Palma de Mallorca: Spain, June 2016.
  • K. Slavakis, S. Salsabilian, D. S. Wack, S. F. Muldoon, et.al., “Clustering brain-network-connectivity states using kernel partial correlations”, 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, 2016.