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Sarah M. Ismail Hosni
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2020 – today
- 2023
- [j3]Shaotong Zhu, Sarah M. Ismail Hosni, Xiaofei Huang, Michael Wan, Seyyed Bahram Borgheai, John McLinden, Yalda Shahriari, Sarah Ostadabbas:
A dynamical graph-based feature extraction approach to enhance mental task classification in brain-computer interfaces. Comput. Biol. Medicine 153: 106498 (2023) - [c5]Chetan Kumar, Neela Rahimi, Rohan Gonjari, John McLinden, Sarah M. Ismail Hosni, Yalda Shahriari, Ming Shao:
Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. EMBC 2023: 1-4 - 2022
- [j2]Sarah M. Ismail Hosni, Seyyed Bahram Borgheai, John McLinden, Shaotong Zhu, Xiaofei Huang, Sarah Ostadabbas, Yalda Shahriari:
A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI. Neuroinformatics 20(4): 1169-1189 (2022) - 2021
- [c4]Sarah M. Ismail Hosni, Seyyed Bahram Borgheai, John McLinden, Shaotong Zhu, Sarah Ostadabbas, Yalda Shahriari:
A Graph-Based Dynamical Characterization and Inference in Hybrid BCIs. ACSCC 2021: 590-594 - [c3]Shaotong Zhu, Sarah M. Ismail Hosni, Xiaofei Huang, Seyyed Bahram Borgheai, John McLinden, Yalda Shahriari, Sarah Ostadabbas:
A Graph-Based Feature Extraction Algorithm Towards a Robust Data Fusion Framework for Brain-Computer Interfaces. EMBC 2021: 878-881 - [c2]Sarah M. Ismail Hosni, Seyyed Bahram Borgheai, John McLinden, Shaotong Zhu, Xiaofei Huang, Sarah Ostadabbas, Yalda Shahriari:
Graph-based Recurrence Quantification Analysis of EEG Spectral Dynamics for Motor Imagery-based BCIs. EMBC 2021: 6453-6457
2010 – 2019
- 2019
- [j1]Sarah M. Ismail Hosni, Howida A. Shedeed, Mai S. Mabrouk, Mohamed F. Tolba:
EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface. Neuroinformatics 17(3): 323-341 (2019) - [c1]R. J. Deligani, Sarah M. Ismail Hosni, Theresa M. Vaughan, L. M. McCane, D. J. Zeitlin, Dennis J. McFarland, Dean J. Krusienski, Yalda Shahriari:
Neural Alterations During Use of a P300-based BCI by Individuals with Amyotrophic Lateral Sclerosis*. NER 2019: 899-902
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