| 1 | Generalizable epileptic seizures prediction based on deep transfer learning | Bahram Sarvi Zargar, Mohammad-Reza Karami-Mollaei, Farideh Ebrahimi Khalesari, Jalil Rasekhi | Cognitive Neurodynamics | 2023 |
| 2 | 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 |
| 3 | Automatic sleep staging by cardiorespiratory signals: a systematic review | Farideh Ebrahimi Khalesari, Iman Alizadeh | Sleep and Breathing | 2022 |
| 4 | 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 |
| 5 | A hierarchical structure based on Stacking approach for skin lesion classification | Ghasem Shakourian, Hussain Montazery Kordy, Farideh Ebrahimi Khalesari | EXPERT SYSTEMS WITH APPLICATIONS | 2020 |
| 6 | Investigating medical students' readiness for technology-mediated autonomous learning situations in ESP programs | Iman Alizadeh, Farideh Ebrahimi Khalesari | Education and Information Technologies | 2019 |
| 7 | Comparative Analysis of the Discriminative Capacity of EEG Two ECG-Derived and Respiratory Signals in Automatic Sleep Staging | Farideh Ebrahimi Khalesari, Seyed Kamaledin Setarehdan, Radek Martinek, Homer Nazeran | Advances in Electrical and Electronic Engineering | 2017 |
| 8 | Automatic sleep staging by simultaneous analysis of ECG and respiratory signals in long epochs | Farideh Ebrahimi Khalesari, Seyed0Kamaledin Setarehdan, Homer Nazeran | Biomedical Signal Processing and Control | 2015 |
| 9 | Automatic sleep staging using empirical mode decomposition discrete wavelet transform time0domain and nonlinear dynamics features of heart rate variability signals | Farideh Ebrahimi Khalesari, Seyed Kamaledin setarehdan, Jose Ayala-Moyeda, Homer Nazeran | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2013 |