| Attention-based convolutional recurrent deep neural networks for the prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder MS Shahabi, A Shalbaf, B Nobakhsh, R Rostami, R Kazemi International Journal of Neural Systems 33 (02), 2350007, 2023 | 9 | 2023 |
| Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep … MS Shahabi, B Nobakhsh, A Shalbaf, R Rostami, R Kazemi Biomedical Signal Processing and Control 85, 104822, 2023 | 4 | 2023 |
| An effective brain connectivity technique to predict repetitive transcranial magnetic stimulation outcome for major depressive disorder patients using EEG signals B Nobakhsh, A Shalbaf, R Rostami, R Kazemi, E Rezaei, R Shalbaf Physical and Engineering Sciences in Medicine 46 (1), 67-81, 2023 | 3 | 2023 |
| Graph-Based Analysis to Predict Repetitive Transcranial Magnetic Stimulation Treatment Response in Major Depressive Disorder Patients Using EEG Signals B Nobakhsh, A Shalbaf, R Rostami, R Kazemi Basic and Clinical Neuroscience, 0-0, 0 | | |
Ahmad ShalbafDepartment of Biomedical Engineering, Shahid Beheshti University of Medical SciencesVerified email at sbmu.ac.ir
