User profiles for Roohallah Alizadehsani

roohallah alizadehsani

Research Fellow, IISRI, Deakin University
Verified email at deakin.edu.au
Cited by 7255

Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients

R Alizadehsani, Z Alizadeh Sani… - Journal of medical …, 2021 - Wiley Online Library
Preventing communicable diseases requires understanding the spread, epidemiology, clinical
features, progression, and prognosis of the disease. Early identification of risk factors and …

[HTML][HTML] Epileptic seizures detection using deep learning techniques: a review

…, M Jafari, P Moridian, R Alizadehsani… - International journal of …, 2021 - mdpi.com
A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. …

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

R Alizadehsani, MJ Hosseini, A Khosravi… - Computer methods and …, 2018 - Elsevier
Background and objective Cardiovascular diseases are an extremely widespread sickness
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

Z Arabasadi, R Alizadehsani, M Roshanzamir… - Computer methods and …, 2017 - Elsevier
Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, …

Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives : Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

…, M Abdar, MA Fahami, R Alizadehsani… - Pattern Recognition …, 2020 - Elsevier
Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …

Swarm intelligence in internet of medical things: A review

R Alizadehsani, M Roshanzamir, NH Izadi, R Gravina… - Sensors, 2023 - mdpi.com
Continuous advancements of technologies such as machine-to-machine interactions and big
data analysis have led to the internet of things (IoT) making information sharing and smart …

A data mining approach for diagnosis of coronary artery disease

R Alizadehsani, J Habibi, MJ Hosseini… - Computer methods and …, 2013 - Elsevier
Cardiovascular diseases are very common and are one of the main reasons of death. Being
among the major types of these diseases, correct and in-time diagnosis of coronary artery …

Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

…, P Moridian, A Khadem, R Alizadehsani… - Computers in biology …, 2021 - Elsevier
Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is
essential for the management of this disorder. Artificial intelligence (AI) techniques can aid …

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

…, M Jafari, P Moridian, M Rezaei, R Alizadehsani… - Computers in Biology …, 2021 - Elsevier
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In order …