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Tohid Yousefi Rezaii
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2020 – today
- 2025
- [j29]G. Alizadeh, Tohid Yousefi Rezaii, Saeed Meshgini:
Studying of deep neural networks and delta and alpha sub-bands harmony signals for Prediction of epilepsy. Biomed. Signal Process. Control. 100: 107066 (2025) - 2024
- [j28]Tara Mashayekhbakhsh, Saeed Meshgini, Tohid Yousefi Rezaii, Somayeh Makouei:
SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition. Pattern Anal. Appl. 27(3): 90 (2024) - [j27]Shabnam Afkari, Mohammad Ali Tinati, Tohid Yousefi Rezaii:
SNR Based Adaptive Quantized Iterative Thresholding for Sparse Approximation. Wirel. Pers. Commun. 137(3): 1375-1393 (2024) - 2023
- [j26]Nastaran Khaleghi, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini:
Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding. Biomed. Signal Process. Control. 80(Part): 104221 (2023) - [j25]Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini:
Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes. Cogn. Comput. 15(1): 176-189 (2023) - [j24]Mojtaba Najafi, Tohid Yousefi Rezaii, Sebelan Danishvar, Seyed Naser Razavi:
Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation. Sensors 23(17): 7612 (2023) - [j23]Yasser Ali, Soosan Beheshti, Farrokh Janabi-Sharifi, Tohid Yousefi Rezaii, Asim N. Cheema, João Pedrosa:
A hybrid approach for tracking borders in echocardiograms. Signal Image Video Process. 17(2): 453-461 (2023) - 2022
- [j22]Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad:
A Two-Stage Learning Convolutional Neural Network for Sleep Stage Classification Using a Filterbank and Single Feature. IEEE Access 10: 60597-60609 (2022) - [j21]Roghaieh Ashenaei, Ali Asghar Beheshti, Tohid Yousefi Rezaii:
Stable EEG-Based biometric system using functional connectivity based on Time-Frequency features with optimal channels. Biomed. Signal Process. Control. 77: 103790 (2022) - 2021
- [j20]Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini, Ali Farzamnia, Liau Chung Fan:
Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application. IEEE Access 9: 114564-114573 (2021) - [j19]Saeideh Ghanbari Azar, Saeed Meshgini, Soosan Beheshti, Tohid Yousefi Rezaii:
Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability. Signal Process. 188: 108214 (2021) - 2020
- [j18]Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, Azra Delpak, Ali Farzamnia:
Automatic Identification of Epileptic Seizures From EEG Signals Using Sparse Representation-Based Classification. IEEE Access 8: 138834-138845 (2020) - [j17]Sobhan Sheykhivand, Zohreh Mousavi, Tohid Yousefi Rezaii, Ali Farzamnia:
Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals. IEEE Access 8: 139332-139345 (2020) - [j16]Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad:
Transfer Learning Convolutional Neural Network for Sleep Stage Classification Using Two-Stage Data Fusion Framework. IEEE Access 8: 180618-180632 (2020) - [j15]Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral image classification based on sparse modeling of spectral blocks. Neurocomputing 407: 12-23 (2020) - [c6]Mahdi Shamsi, Tohid Yousefi Rezaii, Soosan Beheshti:
MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. EMBC 2020: 328-331 - [c5]Farah Nassif, Tohid Yousefi Rezaii, Soosan Beheshti:
Pole-Zero REM Modeling with Application in EEG Artifact Removal. EMBC 2020: 402-405 - [i1]Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks. CoRR abs/2005.08191 (2020)
2010 – 2019
- 2019
- [j14]Amir Aslan Haghrah, Mohammad Ali Tinati, Tohid Yousefi Rezaii:
Analysis of incremental LMS adaptive algorithm over wireless sensor networks with delayed-links. Digit. Signal Process. 88: 80-89 (2019) - [j13]Siavash Eftekharifar, Tohid Yousefi Rezaii, Soosan Beheshti, Sabalan Daneshvar:
Block sparse multi-lead ECG compression exploiting between-lead collaboration. IET Signal Process. 13(1): 46-55 (2019) - [j12]Razieh Keshavarzian, Ali Aghagolzadeh, Tohid Yousefi Rezaii:
Image compressed sensing recovery via nonconvex garrote regularization. Multim. Tools Appl. 78(16): 22301-22323 (2019) - [j11]Mehrrad Mehrkam, Mohammad Ali Tinati, Tohid Yousefi Rezaii:
Reconstruction of low-rank jointly sparse signals from multiple measurement vectors. Signal Image Video Process. 13(4): 683-691 (2019) - [j10]Razieh Keshavarzian, Ali Aghagolzadeh, Tohid Yousefi Rezaii:
LLp norm regularization based group sparse representation for image compressed sensing recovery. Signal Process. Image Commun. 78: 477-493 (2019) - [j9]Ghanbar Azarnia, Mohammad Ali Tinati, Tohid Yousefi Rezaii:
Generic cooperative and distributed algorithm for recovery of signals with the same sparsity profile in wireless sensor networks: a non-convex approach. J. Supercomput. 75(5): 2315-2340 (2019) - 2018
- [j8]Tohid Yousefi Rezaii, Soosan Beheshti, Mahdi Shamsi, Siavash Eftekharifar:
ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework. Biomed. Signal Process. Control. 41: 161-171 (2018) - [j7]Mahdi Shamsi, Tohid Yousefi Rezaii, Mohammad Ali Tinati, Amir Rastegarnia, Azam Khalili:
Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation. Circuits Syst. Signal Process. 37(4): 1649-1668 (2018) - [j6]Ghanbar Azarnia, Mohammad Ali Tinati, Tohid Yousefi Rezaii:
Cooperative and distributed algorithm for compressed sensing recovery in WSNs. IET Signal Process. 12(3): 346-357 (2018) - [j5]Seyedeh Nasim Adnani, Mohammad Ali Tinati, Ghanbar Azarnia, Tohid Yousefi Rezaii:
Energy-efficient data reconstruction algorithm for spatially- and temporally correlated data in wireless sensor networks. IET Signal Process. 12(8): 1053-1062 (2018) - [c4]Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Saeed Meshgini:
Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion. IICAIET 2018: 1-4 - [c3]Sobhan Sheykhivand, Tohid Yousefi Rezaii, Ali Farzamnia, M. Vazifehkhahi:
Sleep Stage Scoring of Single-Channel EEG Signal based on RUSBoost Classifier. IICAIET 2018: 1-6 - 2017
- [j4]Azam Khalili, Amir Rastegarnia, Md Kafiul Islam, Tohid Yousefi Rezaii:
Steady-State Tracking Analysis of Adaptive Filter With Maximum Correntropy Criterion. Circuits Syst. Signal Process. 36(4): 1725-1734 (2017) - 2016
- [c2]Ali Abdollahi Gharbali, José Manuel Fonseca, Shirin Najdi, Tohid Yousefi Rezaii:
Automatic EOG and EMG Artifact Removal Method for Sleep Stage Classification. DoCEIS 2016: 142-150 - 2014
- [j3]Tohid Yousefi Rezaii, Mohammad Ali Tinati, Soosan Beheshti:
Sparsity aware consistent and high precision variable selection. Signal Image Video Process. 8(8): 1613-1624 (2014) - 2013
- [j2]Tohid Yousefi Rezaii, Mohammad Ali Tinati, Soosan Beheshti:
Adaptive efficient sparse estimator achieving oracle properties. IET Signal Process. 7(4): 259-268 (2013) - 2011
- [j1]Tohid Yousefi Rezaii, Mohammad Ali Tinati:
Distributed multi-target tracking using joint probabilistic data association and average consensus filter. Ann. des Télécommunications 66(9-10): 553-566 (2011) - [c1]Mohammad Ali Tinati, Tohid Yousefi Rezaii:
Adaptive sparsity-aware parameter vector reconstruction with application to compressed sensing. HPCS 2011: 350-356
Coauthor Index
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last updated on 2024-12-18 18:27 CET by the dblp team
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