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2020 – today
- 2024
[j16]Parisa Raouf
, Vahid Shalchyan, Reza Rostami:
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. 95: 106392 (2024)- [j15]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
Analysis of EEG-derived brain networks for predicting rTMS treatment outcomes in MDD patients. Biomed. Signal Process. Control. 96: 106613 (2024) - [j14]Ali Akbari, Mohsen Nowkarizi, Reza Rostami, Ali Moghimi:
The role of psychological, skill level and demographic variables in information-seeking behaviours in mental health professionals. J. Inf. Sci. 50(2): 420-433 (2024) - [j13]Milad Esmaeil-Zadeh, Morteza Fattahi, Mohammad Soltani-Gol, Reza Rostami, Hamid Soltanian-Zadeh:
Effective Connectivity Estimation by a Hybrid Neural Network, Empirical Wavelet Transform, and Bayesian Optimization. IEEE J. Biomed. Health Informatics 28(10): 5696-5707 (2024) - 2023
- [j12]Mohsen Sadat Shahabi, Behrooz Nobakhsh, Ahmad Shalbaf, Reza Rostami, Reza Kazemi:
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. 85: 104822 (2023) - [j11]Mona Zaree, Maryam Mohebbi, Reza Rostami:
An ensemble-based Machine learning technique for dyslexia detection during a visual continuous performance task. Biomed. Signal Process. Control. 86(Part B): 105224 (2023) - [j10]Mohsen Parsa, Habib Yousefi Rad, Hadi Vaezi, Gholam-Ali Hossein-Zadeh, Seyed Kamaledin Setarehdan, Reza Rostami, Hana Rostami, Abdol-Hossein Vahabie:
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. 240: 107683 (2023) - [j9]Mohsen Sadat Shahabi, Ahmad Shalbaf, Behrooz Nobakhsh, Reza Rostami, Reza Kazemi:
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. 33(2): 2350007:1-2350007:13 (2023) - [c1]Hosna Tavakoli, Reza Rostami, Mohammad-Reza Nazem-Zadeh:
Assessments of variability in cortical and subcortical measurements and within-network connectivity of the brain using test-retest data. EMBC 2023: 1-4 - 2022
- [j8]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
A Nonlinear Effective Connectivity Measure Based on Granger Causality and Volterra Series. IEEE J. Biomed. Health Informatics 26(5): 2299-2307 (2022) - 2021
- [j7]Fatemeh Hasanzadeh, Maryam Mohebbi, Reza Rostami:
Single Channel EEG Classification: A Case Study on Prediction of Major Depressive Disorder Treatment Outcome. IEEE Access 9: 3417-3427 (2021) - 2020
- [j6]Golnaz Baghdadi, Ateyeh Soroush, Farzad Towhidkhah, Reza Rostami:
Using the concepts of time-delayed feedback control in biofeedback systems in children with ADD: A preliminary study. Commun. Nonlinear Sci. Numer. Simul. 85: 105235 (2020)
2010 – 2019
- 2019
- [j5]Golnaz Baghdadi, Farzad Towhidkhah, Reza Rostami:
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. 58: 234-252 (2019) - 2017
- [j4]Golnaz Baghdadi, Farzad Towhidkhah, Reza Rostami:
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 86: 113-128 (2017) - [j3]Golnaz Baghdadi, Farzad Towhidkhah, Reza Rostami:
An electrophysiological model of working memory performance. Cogn. Syst. Res. 45: 1-16 (2017) - [i1]Khadijeh Sadatnejad, Saeed Shiry Ghidary, Reza Rostami, Reza Kazemi:
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis. CoRR abs/1702.02655 (2017) - 2016
- [j2]Reza Rostami, Ali Ebrahimnejad:
On solving maximum and quickest interval-valued flows over time. J. Intell. Fuzzy Syst. 30(1): 347-358 (2016) - 2013
- [j1]Behshad Hosseinifard, Mohammad Hassan Moradi, Reza Rostami:
Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. Comput. Methods Programs Biomed. 109(3): 339-345 (2013)
Coauthor Index
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last updated on 2024-10-25 21:17 CEST by the dblp team
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