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Reza Shalbaf
Observed names:
R Shalbaf,
R. SHALBAF,
R. Shalbaf
Institution:
Institute for Cognitive Science Studies
Observed institutions:
University of British Columbia,
Institute for Cognitive Science Studies,
Iran University of Science and Technology
ORCID:
0000-0002-1657-3802
Observed ORCID:
0000-0002-1657-3802
OpenAlex ID:
A5033850302
Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System
2017
·
Ahmad Shalbaf
, Mohsen Saffar
, et al.
·
IEEE Journal of Biomedical and Health Informatics
·
104
Monitoring the depth of anesthesia using entropy features and an artificial neural network
2013
·
Reza Shalbaf
, Hamid Behnam
, et al.
·
Journal of Neuroscience Methods
·
95
Classification of mental workload using brain connectivity and machine learning on electroencephalogram data
2024
·
MohammadReza Safari
, Reza Shalbaf
, et al.
·
Scientific Reports
·
83
PDF
Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables
2014
·
R. Shalbaf
, H. Behnam
, et al.
·
Cognitive Neurodynamics
·
67
PDF
Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method
2015
·
M. Mirsadeghi
, H. Behnam
, et al.
·
Journal of Medical Systems
·
52
Measuring the effects of sevoflurane on electroencephalogram using sample entropy
2012
·
R. SHALBAF
, H. BEHNAM
, et al.
·
Acta Anaesthesiologica Scandinavica
·
43
Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia
2019
·
Fahimeh Afshani
, Ahmad Shalbaf
, et al.
·
Cognitive Neurodynamics
·
36
Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia
2014
·
Reza Shalbaf
, Hamid Behnam
, et al.
·
IEEE Transactions on Neural Systems and Rehabilitation Engineering
·
36
Non-linear Entropy Analysis in EEG to Predict Treatment Response to Repetitive Transcranial Magnetic Stimulation in Depression
2018
·
Reza Shalbaf
, Colleen Brenner
, et al.
·
Frontiers in Pharmacology
·
35
PDF
Using the Hilbert–Huang transform to measure the electroencephalographic effect of propofol
2012
·
R Shalbaf
, H Behnam
, et al.
·
Physiological Measurement
·
35
Monitoring the level of hypnosis using a hierarchical SVM system
2019
·
Ahmad Shalbaf
, Reza Shalbaf
, et al.
·
Journal of Clinical Monitoring and Computing
·
34
Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction
2014
·
Zahra Alizadeh Sani
, Ahmad Shalbaf
, et al.
·
Journal of Imaging Informatics in Medicine
·
29
PDF
Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning
2024
·
Hosna Tavakoli
, Reza Rostami
, et al.
·
Brain and Behavior
·
24
PDF
Prediction of treatment response in major depressive disorder using a hybrid of convolutional recurrent deep neural networks and effective connectivity based on EEG signal
2024
·
Seyed Morteza Mirjebreili
, Reza Shalbaf
, et al.
·
Physical and Engineering Sciences in Medicine
·
23
PDF
Classification of mental workload with EEG analysis by using effective connectivity and a hybrid model of CNN and LSTM
2024
·
MohammadReza Safari
, Reza Shalbaf
, et al.
·
Computer Methods in Biomechanics & Biomedical Engineering
·
22
Assessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal
2021
·
Neda Sanjari
, Ahmad Shalbaf
, et al.
·
Basic and Clinical Neuroscience Journal
·
20
PDF
Extracting a seizure intensity index from one-channel EEG signal using bispectral and detrended fluctuation analysis
2010
·
Pegah Tayaranian Hosseini
, Reza Shalbaf
, et al.
·
Journal of Biomedical Science and Engineering
·
16
PDF
An effective brain connectivity technique to predict repetitive transcranial magnetic stimulation outcome for major depressive disorder patients using EEG signals
2022
·
Behrouz Nobakhsh
, Ahmad Shalbaf
, et al.
·
Physical and Engineering Sciences in Medicine
·
14
Combined Yoga and Transcranial Direct Current Stimulation Increase Functional Connectivity and Synchronization in the Frontal Areas
2022
·
Omid Sefat
, Mohammad Ali Salehinejad
, et al.
·
Brain Topography
·
10
Sleep Micro–Macro-structures in Psychophysiological Insomnia. PSG Study
2023
·
Ali Ghermezian
, Mohammad Nami
, et al.
·
Sleep and Vigilance
·
9
PDF
Epilepsy detection using Detrended Fluctuation Analysis
2009
·
Reza Shalbaf
, Pegah Tayaranian Hosseini
, et al.
·
International Conference on Wavelet Analysis and Pattern Recognition
·
9
Explainable hierarchical machine-learning approaches for multimodal prediction of conversion from mild cognitive impairment to Alzheimer’s disease
2025
·
Soheil Zarei
, Mohsen Saffar
, et al.
·
Physical and Engineering Sciences in Medicine
·
8
A Predictive Model to Diagnose Psychophysiological Insomnia with Daytime Hyperarousal and Nighttime Micro–Macro-Structures Correlation
2023
·
Ali Ghermezian
, Mohammad Nami
, et al.
·
Sleep and Vigilance
·
8
The Brain function index as a depth of anesthesia indicator using complexity measures
2013
·
R. Shalbaf
, H. Behnam
, et al.
·
IEEE Conference on Systems, Process and Control
·
4
Statistical Method for Identification of Alzheimer's Disease in Mild Cognitive Impairment with Multimodal Predictive Markers
2025
·
Soheil Zarei
, Reza Shalbaf
, et al.
·
Basic and Clinical Neuroscience Journal
·
3
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Works count:
38
Citation count:
835
H-index:
16
I10-index:
19
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