S. Amir Tabatabaei H.

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Fariborz Rahimi, Ph.D.Electrical Engineering Department, University of Bonab, Bonab, IranVerified email at ubonab.ac.ir
Mahdad EsmaeiliUniversity of Eastern Finland (UEF) , Tabriz University of Medical SciencesVerified email at uef.fi
Saman RajebiAssistant Professor of Electrical Engineering, Seraj Higher Education InstituteVerified email at seraj.ac.ir
Milad AsadnejadDepartment of Biomedical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, IranVerified email at iaut.ac.ir
Yaser DonyatalabPhD in CDSE, University at BuffaloVerified email at buffalo.edu
Reza EyvazpourPh.D. Candidate, Department of Biomedical Engineering, Iran University of Science and TechnologyVerified email at elec.iust.ac.ir
DUNYA MORADIKoc UniversityVerified email at ku.edu.tr

Koç University, Transplant Immunology Research Center of Excellence

Verified email at ku.edu.tr - Homepage


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Using Artificial Intelligence for Detection of Lymphatic Disease and Investigation on Various Methods of its Classifications S Sarabi, M Asadnejad, SAT Hosseini, S Rajebi International Journal on Technical and Physical Problems of Engineering …, 2020	12	2020
Phase Angle determinants in patients with cardiovascular disease using machine learning methods SAT Hosseini, F Rahimi, M Esmaeili, M Khalili Health and Technology 12, 83-88, 2022	3	2022
The Most Effective Factors in Predicting Bioelectrical Impedance Phase Angle for Classification of Healthy and Depressed Obese Women: An Artificial Intelligence Approach SA Tabatabaei Hosseini, M Esmaeili, Y Donyatalab, F Rahimi Intelligent and Fuzzy Techniques for Emerging Conditions and Digital …, 2022	2	2022
Fuzzy Cluster Analysis of Claustrophobia Questionnaire Data in Iranian Male and Female Educated Populations D Moradi, R Eyvazpour, SAT Hosseini, Y Donyatalab, F Rahimi International Conference on Intelligent and Fuzzy Systems, 11-17, 2021	1	2021

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