Shiva Salsabilian

According to our database, Shiva Salsabilian authored at least 9 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification.

Shiva Salsabilian, Laleh Najafizadeh

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

A Variational Encoder Framework for Decoding Behavior Choices from Neural Data.

Shiva Salsabilian, Laleh Najafizadeh

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Identifying Task-Related Brain Functional States Via Cortical Networks.

Shiva Salsabilian, Li Zhu, Christian R. Lee, David J. Margolis, Laleh Najafizadeh

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Detection of Mild Traumatic Brain Injury via Topological Graph Embedding and 2D Convolutional Neural Networks.

Shiva Salsabilian, Laleh Najafizadeh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Quantifying Changes in Brain Function Following Injury via Network Measures.

Shiva Salsabilian, Elena Bibineyshvili, David J. Margolis, Laleh Najafizadeh

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

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

2017

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

2016

Clustering time-varying connectivity networks by riemannian geometry: The brain-network case.

Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

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

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016