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Shiva Salsabilian
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2020 – today
- 2021
- [c7]Shiva Salsabilian, Laleh Najafizadeh:
A Variational Encoder Framework for Decoding Behavior Choices from Neural Data. EMBC 2021: 6631-6634 - [c6]Shiva Salsabilian, Laleh Najafizadeh:
An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification. NER 2021: 408-411 - 2020
- [c5]Shiva Salsabilian, Laleh Najafizadeh:
Detection of Mild Traumatic Brain Injury via Topological Graph Embedding and 2D Convolutional Neural Networks. EMBC 2020: 3715-3718 - [c4]Shiva Salsabilian, Li Zhu, Christian R. Lee, David J. Margolis, Laleh Najafizadeh:
Identifying Task-Related Brain Functional States Via Cortical Networks. ISCAS 2020: 1-4
2010 – 2019
- 2019
- [c3]Shiva Salsabilian, Elena Bibineyshvili, David J. Margolis, Laleh Najafizadeh:
Quantifying Changes in Brain Function Following Injury via Network Measures. EMBC 2019: 5217-5220 - 2018
- [j1]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): 519-533 (2018) - 2017
- [i1]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 abs/1701.07767 (2017) - 2016
- [c2]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: 268-272 - [c1]Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon:
Clustering time-varying connectivity networks by riemannian geometry: The brain-network case. SSP 2016: 1-5
Coauthor Index
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