Sorayya Rezayi

According to our database, Sorayya Rezayi authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Smartphone-based application to control and prevent overweight and obesity in children: design and evaluation.

Zahra Zare, Elmira Hajizadeh, Maryam Mahmoodi, Reza Nazari, Leila Shahmoradi, Sorayya Rezayi

BMC Medical Informatics Decis. Mak., December, 2023

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.

Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz, Sharareh R. Niakan Kalhori

BMC Medical Informatics Decis. Mak., December, 2023

The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review.

Niloofar Mohammadzadeh, Marsa Gholamzadeh, Soheila Saeedi, Sorayya Rezayi

J. Ambient Intell. Humaniz. Comput., 2023

Comparing the performance of machine learning techniques for low back pain diagnosis.

Hamid Bouraghi, Sorayya Rezayi, Soheila Saeedi, Rasoul Salimi, Meysam Jahani, Sajjad Abdolmaleki

Int. J. Medical Eng. Informatics, 2023

2022

Telecardiology interventions for patients with cardiovascular Disease: A systematic review on characteristics and effects.

Niloofar Mohammadzadeh, Sorayya Rezayi, Mozhgan Tanhapour, Soheila Saeedi

Int. J. Medical Informatics, 2022

Basic information requirements for designing COVID-19 disease registration system.

Sorayya Rezayi, Marjan Ghazisaeedi, Shahrzad Amirazodi, Soheila Saeedi

Int. J. Electron. Heal., 2022

2021

Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation.

Leila Shahmoradi, Amin Azizpour, Mahmud Bejani, Pejman Shadpour, Sorayya Rezayi

BMC Medical Informatics Decis. Mak., 2021

Design and Evaluation of a Wearable Smart Blanket System for Monitoring Vital Signs of Patients in an Ambulance.

Sorayya Rezayi, Ali Asghar Safaei, Niloofar Mohammadzadeh

J. Sensors, 2021

Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.

Sorayya Rezayi, Niloofar Mohammadzadeh, Hamid Bouraghi, Soheila Saeedi, Ali Mohammadpour

Comput. Intell. Neurosci., 2021