| A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities S Asadzadeh, TY Rezaii, S Beheshti, A Delpak, S Meshgini Journal of neuroscience methods 339, 108740, 2020 | 147 | 2020 |
| Adaptive noise variance estimation in BayesShrink M Hashemi, S Beheshti IEEE Signal Processing Letters 17 (1), 12-15, 2009 | 100 | 2009 |
| A new information-theoretic approach to signal denoising and best basis selection S Beheshti, MA Dahleh IEEE Transactions on Signal Processing 53 (10), 3613-3624, 2005 | 79 | 2005 |
| Echocardiographic image segmentation using deep Res-U network Y Ali, F Janabi-Sharifi, S Beheshti Biomedical Signal Processing and Control 64, 102248, 2021 | 42 | 2021 |
| Noisy data and impulse response estimation S Beheshti, MA Dahleh IEEE Transactions on Signal Processing 58 (2), 510-521, 2009 | 42 | 2009 |
| Correlation based online dictionary learning algorithm Y Naderahmadian, S Beheshti, MA Tinati IEEE Transactions on signal processing 64 (3), 592-602, 2015 | 41 | 2015 |
| Adaptively tuned iterative low dose CT image denoising SM Hashemi, NS Paul, S Beheshti, RSC Cobbold Computational and mathematical methods in medicine 2015 (1), 638568, 2015 | 37 | 2015 |
| ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework TY Rezaii, S Beheshti, M Shamsi, S Eftekharifar Biomedical Signal Processing and Control 41, 161-171, 2018 | 36 | 2018 |
| Joint intersymbol and multiple‐access interference suppression algorithms for CDMA systems S Beheshti, GW Wornell, SH Isabelle European transactions on telecommunications 9 (5), 403-418, 1998 | 34 | 1998 |
| Noise invalidation denoising S Beheshti, M Hashemi, XP Zhang, N Nikvand IEEE Transactions on Signal Processing 58 (12), 6007-6016, 2010 | 33 | 2010 |
| Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning A Karami, S Beheshti, M Yazdi 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 31 | 2012 |
| Spatial analysis of EEG signals for Parkinson’s disease stage detection E Naghsh, MF Sabahi, S Beheshti Signal, Image and Video Processing 14 (2), 397-405, 2020 | 30 | 2020 |
| Adaptive Bayesian denoising for general Gaussian distributed signals M Hashemi, S Beheshti IEEE Transactions on Signal Processing 62 (5), 1147-1156, 2013 | 30 | 2013 |
| Particle swarm optimization based fuzzy gain scheduled subspace predictive control S Sedghizadeh, S Beheshti Engineering Applications of Artificial Intelligence 67, 331-344, 2018 | 27 | 2018 |
| BM3D mridenoising equipped with noise invalidation technique P Elahi, S Beheshti, M Hashemi 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 25 | 2014 |
| Noise variance in signal denoising S Beheshti, MA Dahleh 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 25 | 2003 |
| Generalized adaptive weighted recursive least squares dictionary learning Y Naderahmadian, MA Tinati, S Beheshti Signal Processing 118, 89-96, 2016 | 24 | 2016 |
| Accelerated compressed sensing based CT image reconstruction SM Hashemi, S Beheshti, PR Gill, NS Paul, RSC Cobbold Computational and mathematical methods in medicine 2015 (1), 161797, 2015 | 24 | 2015 |
| CANDECOMP/PARAFAC model order selection based on reconstruction error in the presence of kronecker structured colored noise S Pouryazdian, S Beheshti, S Krishnan Digital Signal Processing 48, 12-26, 2016 | 22 | 2016 |
| Calculation of abundance factors in hyperspectral imaging using genetic algorithm M Farzam, S Beheshti, K Raahemifar 2008 Canadian Conference on Electrical and Computer Engineering, 000837-000842, 2008 | 22 | 2008 |
