| 1 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 2 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 3 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 4 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 5 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 6 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 7 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 8 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 9 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 10 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 11 | A review of critical challenges in MI-BCI: From conventional to deep learning methods | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | JOURNAL OF NEUROSCIENCE METHODS | 2023 |
| 12 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 13 | Automatic sleep staging by cardiorespiratory signals: a systematic review | Farideh Ebrahimi Khalesari, Iman Alizadeh | Sleep and Breathing | 2022 |
| 14 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
| 15 | Automatic sleep staging by cardiorespiratory signals: a systematic review | Farideh Ebrahimi Khalesari, Iman Alizadeh | Sleep and Breathing | 2022 |
| 16 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
| 17 | Automatic sleep staging by cardiorespiratory signals: a systematic review | Farideh Ebrahimi Khalesari, Iman Alizadeh | Sleep and Breathing | 2022 |
| 18 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |
| 19 | Automatic sleep staging by cardiorespiratory signals: a systematic review | Farideh Ebrahimi Khalesari, Iman Alizadeh | Sleep and Breathing | 2022 |
| 20 | A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals | Zahra Khademi, Farideh Ebrahimi Khalesari, Hussain Montazery Kordy | COMPUTERS IN BIOLOGY AND MEDICINE | 2022 |