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Sajjad Afrakhteh
Sajjad Afrakhteh
其他姓名S. Afrakhteh
Senior Postdoctoral Researcher at University of Trento, Italy
在 unitn.it 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Accurate classification of EEG signals using neural networks trained by hybrid population-physic-based algorithm
S Afrakhteh, MR Mosavi, M Khishe, A Ayatollahi
Machine Intelligence Research 17, 108-122, 2020
482020
An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction
MR Mosavi, A Ayatollahi, S Afrakhteh
Evolving systems 12 (2), 319-336, 2021
262021
Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems
S Afrakhteh, MR Mosavi
Energy Efficiency of Medical Devices and Healthcare Applications, 25-52, 2020
252020
High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding
M Hashemseresht, S Afrakhteh, H Behnam
Biomedical Signal Processing and Control 73, 103446, 2022
192022
Coherent Plane Wave Compounding Combined with Tensor Completion Applied for Ultrafast Imaging
S Afrakhteh, H Behnam
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
182021
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level
U Khan, S Afrakhteh, F Mento, N Fatima, L De Rosa, LL Custode, Z Azam, ...
Ultrasonics 132, 106994, 2023
152023
Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization
S Afrakhteh, H Behnam
Biomedical Signal Processing and Control 62, 102110, 2020
132020
Efficient Synthetic Transmit Aperture Ultrasound based on Tensor Completion
S Afrakhteh, H Behnam
Ultrasonics 117, 106553, 2021
122021
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging
S Afrakhteh, H Behnam
International Journal of Imaging Systems and Technology 30 (4), 1080-1094, 2020
122020
An efficient method for selecting the optimal features using evolutionary algorithms for epilepsy diagnosis
S Afrakhteh, MR Mosavi
Journal of Circuits, Systems and Computers 29 (12), 2050195, 2020
112020
Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation
H Jalilian, S Afrakhteh, G Iacca, L Demi
Ultrasonics 131, 106953, 2023
102023
Temporal super-resolution of echocardiography using a novel high-precision non-polynomial interpolation
S Afrakhteh, H Jalilian, G Iacca, L Demi
Biomedical Signal Processing and Control 78, 104003, 2022
92022
Sleep apnea detection from ECG signal using deep CNN-based structures
A Ayatollahi, S Afrakhteh, F Soltani, E Saleh
Evolving Systems, 1-16, 2022
92022
Multi-task EEG Signal Classification using Correlation-based IMF Selection and Multi-class CSP
N Alizadeh, S Afrakhteh, MR Mosavi
IEEE Access, 2023
72023
Classification of sleep apnea using EMD-based features and PSO-trained neural networks
S Afrakhteh, A Ayatollahi, F Soltani
Biomedical Engineering/Biomedizinische Technik 66 (5), 459-472, 2021
72021
High Frame Rate Ultrasound Imaging by Means of Tensor Completion: Application to Echocardiography
S Afrakhteh, G Iacca, L Demi
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2022
62022
Increasing the Frame Rate of Echocardiography Images Based on a Novel Interpolation Technique
S Afrakhteh, H Jalilian, G Iacca, L Demi
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
62022
Classification of two motor imagery based on EEG signals in brain computer interface systems using LDA, SVM and GMM methods
S Afrakhteh, A Amirkhani, MR Mosavi, A Ayatollahi
Proceedings of the 1st International Conference on Application of Research …, 2016
42016
Increasing Frame Rate of Focused Ultrasound Imaging Based on Tensor Completion
S Afrakhteh, G Iacca, L Demi
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
32022
Automatic Scoring of COVID-19 LUS Videos Using Cross-correlation-Based Features Aggregated from Frame-Level Confidence Levels Obtained by a Pre-trained Deep Neural Network
S Afrakhteh, F Mento, U Khan, L De Rosa, N Fatima, Z Azam, F Tursi, ...
2022 IEEE International Ultrasonics Symposium (IUS), 1-3, 2022
22022
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