Ali Khazaee

Predicting Alzheimer's Disease using Soft Computing Feature selection algorithms and Based on rs-fMRI and sMRI

A. Ebrahimzadeh, Abbas Babajani-Feremi, Seyed Hani Hojjati, 2019 .

Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM

S. H. Hojjati, A. Babajani-Feremi, A. Ebrahimzadeh, 2017, Journal of Neuroscience Methods.

High Efficient System for Automatic Classification of the Electrocardiogram Beats

Ali Khazaee, A. E. Zadeh, Ataollah Ebrahim Zadeh, 2011, Annals of Biomedical Engineering.

Detection of electrocardiogram signals using an efficient method

Ataollah Ebrahimzadeh, Ali Khazaee, B. Shakiba, 2014, Appl. Soft Comput..

Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI

Abbas Babajani-Feremi, for the Alzheimer’s Disease Neuroimaging Initiative, Ata Ebrahimzadeh, 2017, Behavioural Brain Research.

Identifying patients with Alzheimer’s disease using resting-state fMRI and graph theory

Abbas Babajani-Feremi, Ali Khazaee, Ata Ebrahimzadeh, 2015, Clinical Neurophysiology.

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease

A. Babajani-Feremi, A. Ebrahimzadeh, A. Khazaee, 2015, Brain Imaging and Behavior.

Automatic classification of Alzheimer's disease with resting-state fMRI and graph theory

Ataollah Ebrahimzadeh, Abbas Babajani-Feremi, Ali Khazaee, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

Detection of premature ventricular contractions using MLP neural networks: A comparative study

Ataollah Ebrahimzadeh, Ali Khazaee, A. Ebrahimzadeh, 2010 .