Sajjad Afrakhteh

According to our database, Sajjad Afrakhteh authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression.

Umair Khan, Sajjad Afrakhteh, Federico Mento, Gizem Mert, Andrea Smargiassi, Riccardo Inchingolo, Francesco Tursi, Veronica Narvena Macioce, Tiziano Perrone, Giovanni Iacca, Libertario Demi

Comput. Biol. Medicine, February, 2024

2023

Deep CNN-based classification of motor imagery tasks from EEG signals using 2D wavelet transformed images of adaptively reconstructed signals from MVMD decomposed modes.

N. Alizadeh, Sajjad Afrakhteh, Mohammad Reza Mosavi

Int. J. Imaging Syst. Technol., November, 2023

Sleep apnea detection from ECG signal using deep CNN-based structures.

Ahmad Ayatollahi, Sajjad Afrakhteh, Fatemeh Soltani, Ehsan Saleh

Evol. Syst., April, 2023

Multi-Task EEG Signal Classification Using Correlation-Based IMF Selection and Multi-Class CSP.

N. Alizadeh, Sajjad Afrakhteh, Mohammad Reza Mosavi

IEEE Access, 2023

2022

High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding.

Maryam Hashemseresht, Sajjad Afrakhteh, Hamid Behnam

Biomed. Signal Process. Control., 2022

Temporal super-resolution of echocardiography using a novel high-precision non-polynomial interpolation.

Sajjad Afrakhteh, Hamed Jalilian, Giovanni Iacca, Libertario Demi

Biomed. Signal Process. Control., 2022

2021

An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction.

Mohammad Reza Mosavi, Ahmad Ayatollahi, Sajjad Afrakhteh

Evol. Syst., 2021

2020

An Efficient Method for Selecting the Optimal Features using Evolutionary Algorithms for Epilepsy Diagnosis.

Sajjad Afrakhteh, Mohammad R. Mosavi

J. Circuits Syst. Comput., 2020

A fast and high frame rate adaptive beamforming using DCT-based RF-line recovery in line-by-line ultrasound imaging.

Sajjad Afrakhteh, Hamid Behnam

Int. J. Imaging Syst. Technol., 2020

Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm.

Sajjad Afrakhteh, Mohammad Reza Mosavi, Mohammad Khishe, Ahmad Ayatollahi

Int. J. Autom. Comput., 2020

Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization.

Sajjad Afrakhteh, Hamid Behnam

Biomed. Signal Process. Control., 2020