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ORCIDMastaneh Torkamani-Azar
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2020 – today
- 2024
[j4]Shadi Sartipi
, Mastaneh Torkamani-Azar, Müjdat Çetin:
A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 16(2): 732-743 (2024)- 2023
- [i2]Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition. CoRR abs/2307.03068 (2023) - 2022
- [j3]Jani Koskinen, Mastaneh Torkamani-Azar, Ahmed Hussein, Antti Huotarinen, Roman Bednarik:
Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgery. Comput. Biol. Medicine 141: 105121 (2022) - [j2]Mastaneh Torkamani-Azar, Ahreum Lee, Roman Bednarik:
Methods and Measures for Mental Stress Assessment in Surgery: A Systematic Review of 20 Years of Literature. IEEE J. Biomed. Health Informatics 26(9): 4436-4449 (2022) - 2021
- [c3]Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
EEG Emotion Recognition via Graph-based Spatio-Temporal Attention Neural Networks. EMBC 2021: 571-574 - 2020
- [j1]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin, Müjdat Çetin:
Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task. IEEE J. Biomed. Health Informatics 24(9): 2550-2558 (2020) - [c2]Mastaneh Torkamani-Azar, Aysa Jafarifarmand, Müjdat Çetin:
Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features. EMBC 2020: 3062-3065
2010 – 2019
- 2019
- [c1]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Sara Atito Ali Ahmed, Serap Aydin, Müjdat Çetin:
Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks. EMBC 2019: 676-679 - [i1]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin, Müjdat Çetin:
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task. CoRR abs/1910.10076 (2019)
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