| Seizure detection in EEG signals: A comparison of different approaches HR Mohseni, A Maghsoudi, MB Shamsollahi 2006 International conference of the IEEE engineering in medicine and …, 2006 | 172 | 2006 |
| Epileptic seizure detection using neural fuzzy networks N Sadati, HR Mohseni, A Maghsoudi 2006 IEEE international conference on fuzzy systems, 596-600, 2006 | 155 | 2006 |
| Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals A Shalbaf, S Bagherzadeh, A Maghsoudi Physical and Engineering Sciences in Medicine, 2020 | 119 | 2020 |
| Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach A Saeedi, M Saeedi, A Maghsoudi, A Shalbaf Cognitive Neurodynamics, 2020 | 117 | 2020 |
| Major Depressive Disorder Assessment via Enhanced K-nearest Neighbor Method and EEG Signals M Saeedi, A Saeedi, A Maghsoudi Australasian physical & engineering sciences in medicine, 2020 | 66 | 2020 |
| Prediction of drug response in major depressive patients using ensemble of transfer learning with convolutional neural network based on EEG MS Shahabi, A Shalbaf, A Maghsoudi Biocybernetics and Biomedical Engineering, 2021 | 46 | 2021 |
| Automatc detection of epileptic seizure using time-frequency distributions HR Mohseni, A Maghsoudi, MH Kadbi, J Hashemi, A Ashourvan 2006 IET 3rd International Conference On Advances in Medical, Signal and …, 2006 | 39 | 2006 |
| Emotion Recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals S Bagherzadeh, keivan Maghouli, A Shalbaf, A Maghsoudi Cognitive Neurodynamics, 2022 | 36 | 2022 |
| Classification of ECG arrhythmias based on statistical and time-frequency features MH Kadbi, J Hashemi, HR Mohseni, A Maghsoudi IET Digital Library, 2006 | 34 | 2006 |
| An interpretable machine learning method for the detection of schizophrenia using EEG signals MA Vázquez, A Maghsoudi, IP Mariño Frontiers in Systems Neuroscience, 2021 | 30 | 2021 |
| Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals S Bagherzadeh, K Maghooli, A Shalbaf, A Maghsoudi Biomedical Signal Processing and Control 75, 103544, 2022 | 27 | 2022 |
| A novel and reliable deep learning web-based tool to detect covid-19 infection from chest ct-scan A Saeedi, M Saeedi, A Maghsoudi arXiv preprint arXiv:2006.14419, 2020 | 20 | 2020 |
| Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection from EEG Signals A Maghsoudi, A Shalbaf Basic and Clinical Neuroscience, 0-0, 2021 | 15 | 2021 |
| A novel and reliable deep learning web-based tool to detect COVID-19 infection form chest CT-scan A Saeedi, M Saeedi, A Maghsoudi | 11 | 2020 |
| Needle dynamics modelling and control in prostate brachytherapy A Maghsoudi, M Jahed IET control theory & applications 6 (11), 1671-1681, 2012 | 11 | 2012 |
| Hand Motor imagery classification using Effective connectivity and hierarchical Machine Learning in EEG signals A Maghsoudi, A Shalbaf Biomedical physics and engineering, 2022 | 10 | 2022 |
| Multi-parameter sensitivity analysis for guided needle insertion through soft tissue A Maghsoudi, M Jahed 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2010 | 9 | 2010 |
| Inverse dynamics control of needle in prostate brachytherapy A Maghsoudi, M Jahed 2012 Ieee International Conference on Industrial Technology, 510-515, 2012 | 8 | 2012 |
| Model-based needle control in prostate percutaneous procedures A Maghsoudi, M Jahed Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2013 | 7 | 2013 |
| Adjustable primitive pattern generator: A novel cerebellar model for reaching movements S Vahdat, A Maghsoudi, MH Hasani, F Towhidkhah, S Gharibzadeh, ... Neuroscience letters 406 (3), 232-234, 2006 | 6 | 2006 |
Ahmad ShalbafDepartment of Biomedical Engineering, Shahid Beheshti University of Medical Sciences在 sbmu.ac.ir 的电子邮件经过验证
