Ahmad Shalbaf
Orcid: 0000-0002-1595-7281
According to our database1,
Ahmad Shalbaf
authored at least 19 papers
between 2012 and 2024.
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Bibliography
2024
Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps.
IEEE Access, 2024
2023
Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks.
Int. J. Imaging Syst. Technol., November, 2023
Comput. Biol. Medicine, October, 2023
Prediction of Treatment Outcome in Major Depressive Disorder Using Ensemble of Hybrid Transfer Learning and Long Short-Term Memory Based on EEG Signal.
IEEE Trans. Cogn. Dev. Syst., 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
2022
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images.
Int. J. Imaging Syst. Technol., 2022
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal.
Comput. Biol. Medicine, 2022
Predicting conversion from MCI to AD by integration of rs-fMRI and clinical information using 3D-convolutional neural network.
Int. J. Comput. Assist. Radiol. Surg., 2022
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals.
Biomed. Signal Process. Control., 2022
2021
Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening.
Medical Biol. Eng. Comput., 2021
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans.
Int. J. Comput. Assist. Radiol. Surg., 2021
Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals.
Biomed. Signal Process. Control., 2021
2019
Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI.
Comput. Biol. Medicine, 2019
2018
IEEE J. Biomed. Health Informatics, 2018
2015
Letter to the Editor Regarding Paper "Automatic Computation of Left Ventricular Volume Changes over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction".
J. Digit. Imaging, 2015
Automatic Computation of Left Ventricular Volume Changes Over a Cardiac Cycle from Echocardiography Images by Nonlinear Dimensionality Reduction.
J. Digit. Imaging, 2015
2013
Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration.
J. Digit. Imaging, 2013
2012
Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration.
Int. J. Comput. Assist. Radiol. Surg., 2012