Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Sara Atito Ali Ahmed; Serap Aydin; Müjdat Çetin (EMBC, 2019)

Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Serap Aydin; Müjdat Çetin (CoRR, 2019)

Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features. - Mastaneh Torkamani-Azar; Aysa Jafarifarmand; Müjdat Çetin (EMBC, 2020)

Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Serap Aydin; Müjdat Çetin (IEEE J. Biomed. Health Informatics, 2020)

EEG Emotion Recognition via Graph-based Spatio-Temporal Attention Neural Networks. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (EMBC, 2021)

Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgery. - Jani Koskinen; Mastaneh Torkamani-Azar; Ahmed Hussein; Antti Huotarinen; Roman Bednarik (Comput. Biol. Medicine, 2022)

Methods and Measures for Mental Stress Assessment in Surgery: A Systematic Review of 20 Years of Literature. - Mastaneh Torkamani-Azar; Ahreum Lee; Roman Bednarik (IEEE J. Biomed. Health Informatics, 2022)

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (CoRR, 2023)

A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (IEEE Trans. Cogn. Dev. Syst., 2024)