4 papers
Depression Detection Based on Electroencephalography Using a Hybrid Deep Neural Network CNN-GRU and MRMR Feature Selection
Mohammad Reza Yousefi, Hajar Ismail Al-Tamimi, Amin Dehghani
This study investigates the detection and classification of depressive and non-depressive states using deep learning approaches. Depression is a prevalent mental health disorder th…
Sleep Disorder Diagnosis Using EEG Signals and LSTM Deep Learning Method
Mohammad Reza Yousefi, Reza Rahimi
Diagnosing sleep disorders is an important focus in neuroscience and engineering, as these conditions involve issues such as insufficient sleep, frequent awakenings, and difficulty…
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms
Mohammad Reza Yousefi, Ali Bakrani, Amin Dehghani
Diabetic Retinopathy (DR) is a serious and common complication of diabetes, caused by prolonged high blood sugar levels that damage the small retinal blood vessels. If left untreat…
Solving the Inverse Problem of Magnetic Induction Tomography Using Gauss-Newton Iterative Method and Zoning Technique to Reduce Unknown Coefficients
Mohammad Reza Yousefi, Amin Dehghani, Ali Asghar Amini +1
Magnetic Induction Tomography (MIT) is a promising modality for noninvasive imaging due to its contactless and nonionizing technology. In this imaging method, a primary magnetic fi…