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Shiva Salsabilian
Shiva Salsabilian
Research Assistant, Ph.D., Electrical and Computer Engineering, Rutgers University
Bestätigte E-Mail-Adresse bei scarletmail.rutgers.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Clustering brain-network time series by Riemannian geometry
K Slavakis, S Salsabilian, DS Wack, SF Muldoon, HE Baidoo-Williams, ...
IEEE Transactions on Signal and Information Processing over Networks 4 (3 …, 2017
142017
Quantifying changes in brain function following injury via network measures
S Salsabilian, E Bibineyshvili, DJ Margolis, L Najafizadeh
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
132019
Using connectivity to infer behavior from cortical activity recorded through widefield transcranial imaging
S Salsabilian, CR Lee, DJ Margolis, L Najafizadeh
Optics and the Brain, BTu2C. 4, 2018
132018
Study of functional network topology alterations after injury via embedding methods
S Salsabilian, E Bibineyshvili, DJ Margolis, L Najafizadeh
Optics and the Brain, BW4C. 3, 2020
102020
Identifying task-related brain functional states via cortical networks
S Salsabilian, L Zhu, CR Lee, DJ Margolis, L Najafizadeh
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2020
72020
Detection of mild traumatic brain injury via topological graph embedding and 2D convolutional neural networks
S Salsabilian, L Najafizadeh
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
72020
Identifying mild traumatic brain injury using measures of frequency-specified networks
S Salsabilian, Y Bibineyshvili, DJ Margolis, L Najafizadeh
Journal of neural engineering 19 (5), 056033, 2022
42022
An adversarial variational autoencoder approach toward transfer learning for mTBI identification
S Salsabilian, L Najafizadeh
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021
42021
Riemannian multi-manifold modeling and clustering in brain networks
K Slavakis, S Salsabilian, DS Wack, SF Muldoon, HE Baidoo-Williams, ...
Wavelets and Sparsity XVII 10394, 9-24, 2017
42017
Clustering time-varying connectivity networks by Riemannian geometry: The brain-network case
K Slavakis, S Salsabilian, DS Wack, SF Muldoon
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
42016
A variational encoder framework for decoding behavior choices from neural data
S Salsabilian, L Najafizadeh
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
32021
Clustering brain-network-connectivity states using kernel partial correlations
K Slavakis, S Salsabilian, DS Wack, SF Muldoon, HE Baidoo-Williams, ...
2016 50th Asilomar Conference on Signals, Systems and Computers, 268-272, 2016
32016
Subject-Invariant Feature Learning for mTBI Identification Using LSTM-based Variational Autoencoder with Adversarial Regularization
S Salsabilian, L Najafizadeh
Frontiers in Signal Processing, 69, 2022
12022
Imaging the large-scale and cellular cortical response to focal traumatic brain injury in mouse neocortex
Y Bibineyshvili, TJ Vajtay, S Salsabilian, N Fliss, A Suvarnakar, J Fang, ...
bioRxiv, 2024
2024
An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices
S Salsabilian, C Lee, D Margolis, L Najafizadeh
Journal of Neural Engineering, 2024
2024
Advanced computational analysis of neuroimaging data for brain injury identification and decoding behavior
S Salsabilian
Rutgers University-School of Graduate Studies, 2023
2023
Tracing functional network alternations following injury
S Salsabilian, E Bibineyshvili, DJ Margolis, L Najafizadeh
The Fifth Annual Rutgers Brain Health Institute (BHI) Symposium 2019, 25, 2019
2019
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case
K Slavakis, S Salsabilian, DS Wack, SF Muldoon, HE Baidoo-Williams, ...
arXiv preprint arXiv:1701.07767, 2017
2017
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