| A review on EEG signals based emotion recognition M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ... International Clinical Neuroscience Journal 4 (4), 118-129, 2017 | 100 | 2017 |
| The emotion recognition system based on autoregressive model and sequential forward feature selection of electroencephalogram signals S Hatamikia, K Maghooli, AM Nasrabadi Journal of Medical Signals & Sensors 4 (3), 194-201, 2014 | 83 | 2014 |
| Emotion classification through nonlinear EEG analysis using machine learning methods M Zangeneh Soroush, K Maghooli, S Kamaledin Setarehdan, ... International Clinical Neuroscience Journal 5 (4), 135-149, 2018 | 67 | 2018 |
| Emotion recognition using EEG phase space dynamics and Poincare intersections MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Biomedical Signal Processing and Control 59, 101918, 2020 | 49 | 2020 |
| Emotion recognition through EEG phase space dynamics and Dempster-Shafer theory MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Medical Hypotheses 127, 34-45, 2019 | 43 | 2019 |
| Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals S Bagherzadeh, K Maghooli, A Shalbaf, A Maghsoudi Cognitive Neurodynamics 16 (5), 1087-1106, 2022 | 38 | 2022 |
| A novel method of eeg-based emotion recognition using nonlinear features variability and Dempster–Shafer theory MZ Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Biomedical Engineering: Applications, Basis and Communications 30 (04), 1850026, 2018 | 37 | 2018 |
| A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory M Zangeneh Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Behavioral and Brain Functions 14, 1-15, 2018 | 36 | 2018 |
| Enhancing retinal blood vessel segmentation in medical images using combined segmentation modes extracted by DBSCAN and morphological reconstruction K Mardani, K Maghooli Biomedical Signal Processing and Control 69, 102837, 2021 | 34 | 2021 |
| Applying data mining techniques to classify patients with suspected hepatitis C virus infection R Safdari, A Deghatipour, M Gholamzadeh, K Maghooli Intelligent Medicine 2 (04), 193-198, 2022 | 33 | 2022 |
| Graph theoretical approach to functional connectivity in prefrontal cortex via fNIRS Z Einalou, K Maghooli, SK Setarehdan, A Akin Neurophotonics 4 (4), 041407-041407, 2017 | 33 | 2017 |
| Differential diagnosis of Erythmato-Squamous Diseases using classification and regression tree K Maghooli, M Langarizadeh, L Shahmoradi, M Habibi-Koolaee, ... Acta Informatica Medica 24 (5), 338, 2016 | 32 | 2016 |
| Effective channels in classification and functional connectivity pattern of prefrontal cortex by functional near infrared spectroscopy signals Z Einalou, K Maghooli, SK Setarehdan, A Akin Optik 127 (6), 3271-3275, 2016 | 32 | 2016 |
| A study of factors related to patients’ length of stay using data mining techniques in a general hospital in southern Iran SM Ayyoubzadeh, M Ghazisaeedi, S Rostam Niakan Kalhori, ... Health information science and systems 8, 1-11, 2020 | 30 | 2020 |
| Fuzzy cognitive map based approach for determining the risk of ischemic stroke M Khodadadi, H Shayanfar, K Maghooli, A Hooshang Mazinan IET systems biology 13 (6), 297-304, 2019 | 30 | 2019 |
| 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 | 29 | 2022 |
| A novel EEG-based approach to classify emotions through phase space dynamics M Zangeneh Soroush, K Maghooli, SK Setarehdan, AM Nasrabadi Signal, Image and Video Processing 13, 1149-1156, 2019 | 29 | 2019 |
| A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map M Baghizadeh, K Maghooli, F Farokhi, NJ Dabanloo Biomedical Signal Processing and Control 59, 101902, 2020 | 25 | 2020 |
| Biomarker discovery based on hybrid optimization algorithm and artificial neural networks on microarray data for cancer classification NY Moteghaed, K Maghooli, S Pirhadi, M Garshasbi Journal of Medical Signals & Sensors 5 (2), 88-96, 2015 | 25 | 2015 |
| Obstructive sleep apnea event prediction using recurrence plots and convolutional neural networks (RP-CNNs) from polysomnographic signals Y Taghizadegan, NJ Dabanloo, K Maghooli, A Sheikhani Biomedical Signal Processing and Control 69, 102928, 2021 | 24 | 2021 |
