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Sajjad Afrakhteh
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2020 – today
- 2024
- [j12]Umair Khan, Sajjad Afrakhteh, Federico Mento, Gizem Mert, Andrea Smargiassi, Riccardo Inchingolo, Francesco Tursi, Veronica Narvena Macioce, Tiziano Perrone, Giovanni Iacca, Libertario Demi:
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression. Comput. Biol. Medicine 169: 107885 (2024) - [j11]Giulia Tuccio, Sajjad Afrakhteh, Giovanni Iacca, Libertario Demi:
Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation. IEEE Trans. Medical Imaging 43(5): 1690-1701 (2024) - [c1]Sajjad Afrakhteh, Libertario Demi:
Reconstruction of Elasticity Estimates in Shear Wave Elastography through Relaxed Frame Rate Acquisition Combined with Radial Basis Function Interpolation. EUSIPCO 2024: 1676-1680 - 2023
- [j10]N. Alizadeh, Sajjad Afrakhteh, Mohammad Reza Mosavi:
Multi-Task EEG Signal Classification Using Correlation-Based IMF Selection and Multi-Class CSP. IEEE Access 11: 52712-52725 (2023) - [j9]Ahmad Ayatollahi, Sajjad Afrakhteh, Fatemeh Soltani, Ehsan Saleh:
Sleep apnea detection from ECG signal using deep CNN-based structures. Evol. Syst. 14(2): 191-206 (2023) - [j8]N. Alizadeh, Sajjad Afrakhteh, Mohammad Reza Mosavi:
Deep CNN-based classification of motor imagery tasks from EEG signals using 2D wavelet transformed images of adaptively reconstructed signals from MVMD decomposed modes. Int. J. Imaging Syst. Technol. 33(6): 1988-2011 (2023) - 2022
- [j7]Maryam Hashemseresht, Sajjad Afrakhteh, Hamid Behnam:
High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding. Biomed. Signal Process. Control. 73: 103446 (2022) - [j6]Sajjad Afrakhteh, Hamed Jalilian, Giovanni Iacca, Libertario Demi:
Temporal super-resolution of echocardiography using a novel high-precision non-polynomial interpolation. Biomed. Signal Process. Control. 78: 104003 (2022) - 2021
- [j5]Mohammad Reza Mosavi, Ahmad Ayatollahi, Sajjad Afrakhteh:
An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction. Evol. Syst. 12(2): 319-336 (2021) - 2020
- [j4]Sajjad Afrakhteh, Hamid Behnam:
Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization. Biomed. Signal Process. Control. 62: 102110 (2020) - [j3]Sajjad Afrakhteh, Mohammad Reza Mosavi, Mohammad Khishe, Ahmad Ayatollahi:
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm. Int. J. Autom. Comput. 17(1): 108-122 (2020) - [j2]Sajjad Afrakhteh, Hamid Behnam:
A fast and high frame rate adaptive beamforming using DCT-based RF-line recovery in line-by-line ultrasound imaging. Int. J. Imaging Syst. Technol. 30(4): 1080-1094 (2020) - [j1]Sajjad Afrakhteh, Mohammad R. Mosavi:
An Efficient Method for Selecting the Optimal Features using Evolutionary Algorithms for Epilepsy Diagnosis. J. Circuits Syst. Comput. 29(12): 2050195:1-2050195:30 (2020)
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last updated on 2024-11-07 21:29 CET by the dblp team
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