Shiva Salsabilian

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Centrality Measures

Transfer Learning

Cortical Thickness

Convolutional Neural Networks

Top Venues

Publications

Shiva Salsabilian, Laleh Najafizadeh
A Variational Encoder Framework for Decoding Behavior Choices from Neural Data. EMBC (2021)
Shiva Salsabilian, Laleh Najafizadeh
An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification. NER (2021)
Shiva Salsabilian, Li Zhu, Christian R. Lee, David J. Margolis, Laleh Najafizadeh
Identifying Task-Related Brain Functional States Via Cortical Networks. ISCAS (2020)
Shiva Salsabilian, Laleh Najafizadeh
Detection of Mild Traumatic Brain Injury via Topological Graph Embedding and 2D Convolutional Neural Networks. EMBC (2020)
Shiva Salsabilian, Elena Bibineyshvili, David J. Margolis, Laleh Najafizadeh
Quantifying Changes in Brain Function Following Injury via Network Measures. EMBC (2019)
Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
Clustering Brain-Network Time Series by Riemannian Geometry. IEEE Trans. Signal Inf. Process. over Networks 4 (3) (2018)
Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. CoRR (2017)
Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
Clustering brain-network-connectivity states using kernel partial correlations. ACSSC (2016)
Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon
Clustering time-varying connectivity networks by riemannian geometry: The brain-network case. SSP (2016)