Reza Rostami
Orcid: 0000-0001-9318-108X
According to our database1,
Reza Rostami
authored at least 18 papers
between 2013 and 2024.
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Bibliography
2024
Effective Connectivity Estimation by a Hybrid Neural Network, Empirical Wavelet Transform, and Bayesian Optimization.
IEEE J. Biomed. Health Informatics, October, 2024
The role of psychological, skill level and demographic variables in information-seeking behaviours in mental health professionals.
J. Inf. Sci., 2024
Investigation of the impact of cross-frequency coupling on the assessment of depression severity through the analysis of resting state EEG signals.
Biomed. Signal Process. Control., 2024
Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients.
Biomed. Signal Process. Control., 2024
2023
EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions.
Comput. Methods Programs Biomed., October, 2023
An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task.
Biomed. Signal Process. Control., September, 2023
Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models.
Biomed. Signal Process. Control., August, 2023
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder.
Int. J. Neural Syst., February, 2023
Assessments of variability in cortical and subcortical measurements and within-network connectivity of the brain using test-retest data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
A Nonlinear Effective Connectivity Measure Based on Granger Causality and Volterra Series.
IEEE J. Biomed. Health Informatics, 2022
2021
Single Channel EEG Classification: A Case Study on Prediction of Major Depressive Disorder Treatment Outcome.
IEEE Access, 2021
2020
Using the concepts of time-delayed feedback control in biofeedback systems in children with ADD: A preliminary study.
Commun. Nonlinear Sci. Numer. Simul., 2020
2019
A mathematical model of the interaction between bottom-up and top-down attention controllers in response to a target and a distractor in human beings.
Cogn. Syst. Res., 2019
2017
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis.
CoRR, 2017
A mathematical and biological plausible model of decision-execution regulation in "Go/No-Go" tasks: Focusing on the fronto-striatal-thalamic pathway.
Comput. Biol. Medicine, 2017
2016
J. Intell. Fuzzy Syst., 2016
2013
Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal.
Comput. Methods Programs Biomed., 2013