Ahmad Shalbaf

Orcid: 0000-0002-1595-7281

According to our database1, Ahmad Shalbaf authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023).
Comput. Methods Programs Biomed., 2024

Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review.
Comput. Methods Programs Biomed., 2024

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps.
IEEE Access, 2024

Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 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

Emotion recognition in EEG signals using deep learning methods: A review.
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
Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System.
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


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