Clustering brain-network-connectivity states using kernel partial correlations. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (ACSSC, 2016)

Clustering time-varying connectivity networks by riemannian geometry: The brain-network case. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon (SSP, 2016)

Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (CoRR, 2017)

Clustering Brain-Network Time Series by Riemannian Geometry. - Konstantinos Slavakis; Shiva Salsabilian; David S. Wack; Sarah Feldt Muldoon; Henry E. Baidoo-Williams; Jean M. Vettel; Matthew Cieslak; Scott T. Grafton (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Quantifying Changes in Brain Function Following Injury via Network Measures. - Shiva Salsabilian; Elena Bibineyshvili; David J. Margolis; Laleh Najafizadeh (EMBC, 2019)

Detection of Mild Traumatic Brain Injury via Topological Graph Embedding and 2D Convolutional Neural Networks. - Shiva Salsabilian; Laleh Najafizadeh (EMBC, 2020)

Identifying Task-Related Brain Functional States Via Cortical Networks. - Shiva Salsabilian; Li Zhu 004; Christian R. Lee; David J. Margolis; Laleh Najafizadeh (ISCAS, 2020)

A Variational Encoder Framework for Decoding Behavior Choices from Neural Data. - Shiva Salsabilian; Laleh Najafizadeh (EMBC, 2021)

An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification. - Shiva Salsabilian; Laleh Najafizadeh (NER, 2021)