| Entropy and complexity measures for EEG signal classification of schizophrenic and control participants M Sabeti, S Katebi, R Boostani Artificial intelligence in medicine 47 (3), 263-274, 2009 | 314 | 2009 |
| Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm E Parvinnia, M Sabeti, MZ Jahromi, R Boostani Journal of King Saud University-Computer and Information Sciences 26 (1), 1-6, 2014 | 135 | 2014 |
| An efficient classifier to diagnose of schizophrenia based on the EEG signals R Boostani, K Sadatnezhad, M Sabeti Expert Systems with Applications 36 (3), 6492-6499, 2009 | 133 | 2009 |
| A new approach for EEG signal classification of schizophrenic and control participants M Sabeti, SD Katebi, R Boostani, GW Price Expert Systems with Applications 38 (3), 2063-2071, 2011 | 106 | 2011 |
| Selection of relevant features for EEG signal classification of schizophrenic patients M Sabeti, R Boostani, SD Katebi, GW Price Biomedical Signal Processing and Control 2 (2), 122-134, 2007 | 100 | 2007 |
| A multi-resolution approach to localize neural sources of P300 event-related brain potential M Sabeti, SD Katebi, K Rastgar, Z Azimifar Computer methods and programs in biomedicine 133, 155-168, 2016 | 36 | 2016 |
| Analysis of neural sources of p300 event-related potential in normal and schizophrenic participants M Sabeti, E Moradi, S Katebi Software Tools and Algorithms for Biological Systems, 589-597, 2011 | 25 | 2011 |
| Improved particle swarm optimisation to estimate bone age M Sabeti, R Boostani, B Davoodi IET Image Processing 12 (2), 179-187, 2018 | 20 | 2018 |
| Usefulness of approximate entropy in the diagnosis of schizophrenia M Taghavi, R Boostani, M Sabeti, SMA Taghavi Iranian Journal of Psychiatry and Behavioral Sciences 5 (2), 62, 2011 | 17 | 2011 |
| How mental fatigue affects the neural sources of P300 component? M Sabeti, R Boostani, K Rastgar Journal of Integrative Neuroscience 17 (1), 93-111, 2018 | 16 | 2018 |
| Analysing complexity, variability and spectral measures of schizophrenic EEG signal M Sabeti, R Behroozi, E Moradi International Journal of Biomedical Engineering and Technology 21 (2), 109-127, 2016 | 15 | 2016 |
| Source localization algorithms to find attention and memory circuits in the brain M Sabeti, SD Katebi, K Rastgar Journal of King Saud University-Computer and Information Sciences 27 (3 …, 2015 | 15 | 2015 |
| Event related potential (ERP) as a reliable biometric indicator: A comparative approach M Sabeti, R Boostani, E Moradi Array 6, 100026, 2020 | 13 | 2020 |
| A New approach to classify the schizophrenic and normal subjects by finding the best channels and frequency bands M Sabeti, R Boostani, SD Katebi 2007 15th International Conference on Digital Signal Processing, 123-126, 2007 | 12 | 2007 |
| Optimising brain map for the diagnosis of schizophrenia R Boostani, M Sabeti International Journal of Biomedical Engineering and Technology 28 (2), 105-119, 2018 | 11 | 2018 |
| EEG signal classification using an association rule-based classifier M Sabeti, MH Sadreddini, JT Nezhad 2007 IEEE International Conference on Signal Processing and Communications …, 2007 | 11 | 2007 |
| Feature selection and mapping of local binary pattern for texture classification MH Shakoor, R Boostani, M Sabeti, M Mohammadi Multimedia Tools and Applications 82 (5), 7639-7676, 2023 | 10 | 2023 |
| Using genetic programming to select the informative EEG-based features to distinguish schizophrenic patients M Sabeti, R Boostani, T Zoughi Neural Network World 22 (1), 3, 2012 | 10 | 2012 |
| ECG-based personal identification using empirical mode decomposition and Hilbert transform R Boostani, M Sabeti, S Omranian, S Kouchaki Iranian Journal of Science and Technology, Transactions of Electrical …, 2019 | 8 | 2019 |
| Machine learning-based identification of craniosynostosis in newborns M Sabeti, R Boostani, E Moradi, MH Shakoor Machine Learning with Applications 8, 100292, 2022 | 7 | 2022 |
Reza BoostaniProfessor of Biomedical Engineering, CSE & IT Dept, ECE Faculty, Shiraz UniversityVerified email at shirazu.ac.ir
