1 citations · 1 across the 3 of their papers we have counts for
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Fusion techniques of time frequency-based images to predict the outcome of rTMS depression therapy
Wael Korani, Md Fahimul Kabir Chowdhury, Mohammed Aledhari +2
Depression is a mental condition that can lead to suicide and self-harm. Predicting the outcome of depression treatment is one of the most difficult tasks for clinicians. Among var…
Predicting the Outcome of rTMS Depression Therapy using EEG Signals and CNN
Wael Korani, Md Fahimul Kabir Chowdhury, Sadam AlQadi +3
Repetitive transcranial magnetic stimulation (rTMS) is a non invasive therapy for Major Depressive Disorder (MDD). In this study, we generate images using two time frequency method…
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis
Khadijeh Sadatnejad, Saeed S. Ghidary, Reza Rostami +1
The generalization and robustness of an electroencephalogram (EEG)-based computer aided diagnostic system are crucial requirements in actual clinical practice. To reach these goals…