M. Zangeneh Soroush

EEG artifact removal using sub-space decomposition, nonlinear dynamics, stationary wavelet transform and machine learning algorithms

A. Ghazizadeh, K. Maghooli, K. Sadeghniiat-haghighi, 2022, Frontiers in Physiology.

Emotion Recognition from Physiological Signals Using Parallel Stacked Autoencoders

K. Maghooli, S. Bagherzadeh, M. Zangeneh Soroush, 2018, Neurophysiology.

Effects of COVID-19-related psychological distress and anxiety on quality of sleep and life in healthcare workers in Iran and three European countries

K. Maghooli, N. Jafarnia Dabanloo, M. Zangeneh Soroush, 2022, Frontiers in Public Health.

A novel EEG-based approach to classify emotions through phase space dynamics

S. Setarehdan, A. Nasrabadi, K. Maghooli, 2019, Signal, Image and Video Processing.

Emotion recognition through EEG phase space dynamics and Dempster-Shafer theory.

Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi, Keivan Maghooli, 2019, Medical hypotheses.

Artificial Neural Network for Predicting the Safe Temporary Artery Occlusion Time in Intracranial Aneurysmal Surgery

S. Ansari, Shahab Kamali-Ardakani, S. Ghodsi, 2021, Journal of clinical medicine.

A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory

Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi, Keivan Maghooli, 2018, Behavioral and Brain Functions.

A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory

S. Setarehdan, A. Nasrabadi, K. Maghooli, 2018, Behavioral and Brain Functions.