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Neda Behzadfar

Showing results (1-10 of 5) with videos related to

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Journal of Medical Signals and Sensors|June 9, 2023
An Efficient Method for Classification of Alcoholic and Normal Electroencephalogram Signals Based on Selection of an Appropriate FeatureMaryam Dorvashi, Neda Behzadfar, Ghazanfar Shahgholian
Clinical EEG and Neuroscience|April 1, 2022
EEG Spectral Power Analysis: A Comparison Between Heroin Dependent and Control GroupsMaryam Seif, Mohammad Reza Yousefi, Neda Behzadfar
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Multiband Group Independent Component Analysis: Unveiling Frequency-Dependent Dynamics of Functional Connectivity in Group-Level fMRI AnalysesNeda Behzadfar, Armin Iraji, Vince D Calhoun
Clinical EEG and Neuroscience|February 28, 2016
Low-Complexity Discriminative Feature Selection From EEG Before and After Short-Term Memory TaskNeda Behzadfar, S Mohammad P Firoozabadi, Kambiz Badie
Aperture Neuro|September 18, 2025
A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI dataNeda Behzadfar, D H Mathalon, A Preda, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Medical Signals and Sensors|June 9, 2023
An Efficient Method for Classification of Alcoholic and Normal Electroencephalogram Signals Based on Selection of an Appropriate FeatureMaryam Dorvashi, Neda Behzadfar, Ghazanfar Shahgholian
Clinical EEG and Neuroscience|April 1, 2022
EEG Spectral Power Analysis: A Comparison Between Heroin Dependent and Control GroupsMaryam Seif, Mohammad Reza Yousefi, Neda Behzadfar
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Multiband Group Independent Component Analysis: Unveiling Frequency-Dependent Dynamics of Functional Connectivity in Group-Level fMRI AnalysesNeda Behzadfar, Armin Iraji, Vince D Calhoun
Clinical EEG and Neuroscience|February 28, 2016
Low-Complexity Discriminative Feature Selection From EEG Before and After Short-Term Memory TaskNeda Behzadfar, S Mohammad P Firoozabadi, Kambiz Badie
Aperture Neuro|September 18, 2025
A multi-frequency ICA-based approach for estimating voxelwise frequency difference patterns in fMRI dataNeda Behzadfar, D H Mathalon, A Preda, et al.
Pageof 1