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Abdolkarim Saeedi
Abdolkarim Saeedi
PhD Student, Department of Biomedical Engineering, K. N. Toosi University of Technology
Zweryfikowany adres z email.kntu.ac.ir - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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, 1-14, 2020
1102020
Major Depressive Disorder Assessment via Enhanced K-nearest Neighbor Method and EEG Signals
M Saeedi, A Saeedi, A Maghsoudi
Physical and Engineering Sciences in Medicine, 2020
622020
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection form Chest CT-Scan
A Saeedi, M Saeedi, A Maghsoudi
arXiv preprint arXiv:2006.14419, 2020
322020
A novel geometrical method for depression diagnosis based on EEG signals
A Azizi, MK Moridani, A Saeedi
2019 IEEE 4th conference on technology in electrical and computer engineering, 2019
122019
Schizophrenia Diagnosis via FFT and Wavelet Convolutional Neural Networks utilizing EEG signals
M Saeedi, A Saeedi, P Mohammadi
52022
An innovative method for cardiovascular disease detection based on nonlinear geometric features and feature reduction combination
A Saeedi, MK Moridani, A Azizi
Intelligent Decision Technologies 15 (1), 45-57, 2021
32021
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals
A Saeedi, A Maghsoudi, FN Rahatabad
arXiv preprint arXiv:2303.06033, 2023
22023
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