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Sepideh Jabbari

Showing results (1-10 of 8) with videos related to

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Biomedical Engineering Letters|March 22, 2021
Source separation from single-channel abdominal phonocardiographic signals based on independent component analysisSepideh Jabbari
Computers in Biology and Medicine|July 12, 2011
Modeling of heart systolic murmurs based on multivariate matching pursuit for diagnosis of valvular disordersSepideh Jabbari, Hassan Ghassemian
Biomedical Engineering Letters|July 1, 2024
A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memoryAmin Mashayekhi Shams, Sepideh Jabbari
Avicenna Journal of Medical Biotechnology|February 15, 2013
Nutrigenomics and cancerAli M Ardekani, Sepideh Jabbari
Asian Pacific Journal of Cancer Prevention : APJCP|October 6, 2015
Medullary Thyroid Carcinoma--Circulating Status of Vaspin and Retinol Binding Protein-4 in Iranian PatientsSepideh Jabbari, Mehdi Hedayati, Parichehreh Yaghmaei, et al.
Journal of Affective Disorders|March 11, 2026
Functional brain network modulation following conventional and optimized HD-tDCS in major depressive disorder: A machine learning prediction of treatment responseMikaeil Tabarraei, Sepideh Jabbari, Marzieh Abdi, et al.
The International Journal of Neuroscience|October 1, 2025
A novel machine learning-based method to quantify the effect of transcranial direct current stimulation on opioid usersFatemeh Kazemzadeh, Sepideh Jabbari, Bahram Perseh, et al.
Physiology & Behavior|July 25, 2022
Deceptive intensities: An exploratory strategy for overcoming early central fatigue in resistance trainingAli Gorzi, Neda Rezapour, Sepideh Jabbari, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biomedical Engineering Letters|March 22, 2021
Source separation from single-channel abdominal phonocardiographic signals based on independent component analysisSepideh Jabbari
Computers in Biology and Medicine|July 12, 2011
Modeling of heart systolic murmurs based on multivariate matching pursuit for diagnosis of valvular disordersSepideh Jabbari, Hassan Ghassemian
Biomedical Engineering Letters|July 1, 2024
A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memoryAmin Mashayekhi Shams, Sepideh Jabbari
Avicenna Journal of Medical Biotechnology|February 15, 2013
Nutrigenomics and cancerAli M Ardekani, Sepideh Jabbari
Asian Pacific Journal of Cancer Prevention : APJCP|October 6, 2015
Medullary Thyroid Carcinoma--Circulating Status of Vaspin and Retinol Binding Protein-4 in Iranian PatientsSepideh Jabbari, Mehdi Hedayati, Parichehreh Yaghmaei, et al.
Journal of Affective Disorders|March 11, 2026
Functional brain network modulation following conventional and optimized HD-tDCS in major depressive disorder: A machine learning prediction of treatment responseMikaeil Tabarraei, Sepideh Jabbari, Marzieh Abdi, et al.
The International Journal of Neuroscience|October 1, 2025
A novel machine learning-based method to quantify the effect of transcranial direct current stimulation on opioid usersFatemeh Kazemzadeh, Sepideh Jabbari, Bahram Perseh, et al.
Physiology & Behavior|July 25, 2022
Deceptive intensities: An exploratory strategy for overcoming early central fatigue in resistance trainingAli Gorzi, Neda Rezapour, Sepideh Jabbari, et al.
Pageof 1