| A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing V Abolghasemi, S Ferdowsi, S Sanei Signal Processing 92 (4), 999-1009, 2012 | 197 | 2012 |
| On optimization of the measurement matrix for compressive sensing V Abolghasemi, S Ferdowsi, B Makkiabadi, S Sanei 2010 18th European Signal Processing Conference, 427-431, 2010 | 167 | 2010 |
| Fast and incoherent dictionary learning algorithms with application to fMRI V Abolghasemi, S Ferdowsi, S Sanei Signal, Image and Video Processing 9, 147-158, 2015 | 94 | 2015 |
| Blind separation of image sources via adaptive dictionary learning V Abolghasemi, S Ferdowsi, S Sanei IEEE Transactions on Image Processing 21 (6), 2921-2930, 2012 | 83 | 2012 |
| Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals H Ghonchi, M Fateh, V Abolghasemi, S Ferdowsi, M Rezvani IET Signal Processing 14 (3), 142-153, 2020 | 48 | 2020 |
| Removing ballistocardiogram artifact from EEG using short-and long-term linear predictor S Ferdowsi, S Sanei, V Abolghasemi, J Nottage, O O’Daly IEEE Transactions on Biomedical Engineering 60 (7), 1900-1911, 2013 | 27 | 2013 |
| EEG–fMRI: dictionary learning for removal of ballistocardiogram artifact from EEG V Abolghasemi, S Ferdowsi Biomedical Signal Processing and Control 18, 186-194, 2015 | 26 | 2015 |
| A new informed tensor factorization approach to EEG–fMRI fusion S Ferdowsi, V Abolghasemi, S Sanei Journal of neuroscience methods 254, 27-35, 2015 | 21 | 2015 |
| A constrained NMF algorithm for BOLD detection in fMRI S Ferdowsi, V Abolghasemi, S Sanei 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010 | 19 | 2010 |
| Recursive singular spectrum analysis for induction machines unbalanced rotor fault diagnosis V Abolghasemi, MH Marzebali, S Ferdowsi IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2021 | 18 | 2021 |
| A predictive modeling approach to analyze data in EEG–fMRI experiments S Ferdowsi, S Sanei, V Abolghasemi International Journal of Neural Systems 25 (01), 1440008, 2015 | 18 | 2015 |
| Incoherent dictionary pair learning: Application to a novel open-source database of chinese numbers V Abolghasemi, M Chen, A Alameer, S Ferdowsi, J Chambers, ... IEEE Signal Processing Letters 25 (4), 472-476, 2018 | 16 | 2018 |
| Advances in electroencephalography signal processing [Life Sciences] S Sanei, S Ferdowsi, K Nazarpour, A Cichocki IEEE Signal Processing Magazine 30 (1), 170-176, 2012 | 16 | 2012 |
| Spatio-temporal deep learning for EEG-fNIRS brain computer interface H Ghonchi, M Fateh, V Abolghasemi, S Ferdowsi, M Rezvani 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
| Segmented compressive sensing V Abolghasemi, S Sanei, S Ferdowsi, F Ghaderi, A Belcher 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 630-633, 2009 | 12 | 2009 |
| Labeled projective dictionary pair learning: application to handwritten numbers recognition R Ameri, A Alameer, S Ferdowsi, K Nazarpour, V Abolghasemi Information Sciences 609, 489-506, 2022 | 11 | 2022 |
| A new spatially constrained NMF with application to fMRI S Ferdowsi, V Abolghasemi, B Makkiabadi, S Sanei 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 11 | 2011 |
| Semiblind spectral factorization approach for magnetic resonance spectroscopy quantification S Ferdowsi, V Abolghasemi IEEE Transactions on Biomedical Engineering 65 (8), 1717-1724, 2017 | 7 | 2017 |
| EEG-FMRI integration using a partially constrained tensor factorization S Ferdowsi, V Abolghasemi, S Sanei 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 7 | 2013 |
| Manipulation of stator current signature for rotor asymmetries fault diagnosis of wound rotor induction machine MH Marzebali, V Abolghasemi, S Ferdowsi, R Bazghandi IET Science, Measurement & Technology 16 (9), 523-532, 2022 | 6 | 2022 |
Vahid AbolghasemiSchool of Computer Science and Electronic Engineering (CSEE), University of EssexVerified email at essex.ac.uk
