Mobin Mohebi

I graduated in Biomedical Engineering from Tarbiat Modares University. Radiomics, image analysis, and machine learning are among my areas of research in medical imaging. Currently, I am working on Myocardial Perfusion SPECT imaging and AI approaches in cardiology.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Academic Profile

Posts

Contact Information

-Email

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Educations

Biomedical Engineering Master'sTarbiat Modares University2021-09-04 Iran

Supervisor's name :Mahdi Orooji, Ahmad Bitarafan, mohammad Javad Alemzadeh, Azin Alizadeh Asl

Title :

Radiomics analysis for prediction of the Post-Revascularization Ejection Fraction Before the Percutaneous Coronary Intervention

Biomedical EngineeringBachelor'sIslamic Azad University Qazvin2016-09-19 Iran

Supervisor's name :Ayyoob Jafari

Title :

Face recognition system by Principal Component Analysis using eigenfaces

Work Experiences

Research Assistant

at Rajaie Medical Center

I am currently working in this role

Teaching Assistant

at QIAU (Biostatistics)

Start : 30-Aug-2015

End : 30-Aug-2016

Teaching Assistant

at QIAU (Bioinformatics)

Start : 18-Sep-2014

End : 19-Sep-2016

Teaching Assistant

at TMU (Pattern Recognition)

Start : 19-Sep-2019

End : 03-Sep-2021

Teaching Assistant

at TMU (Medical Image Proc.)

Start : 19-Sep-2019

End : 03-Sep-2021

Research Assistant

at TarbiatModares University

Start : 31-Jan-2019

End : 17-Oct-2021

English Scores

IELTS29-Dec-2022

7/9Total

Reading :

7/9

Speaking :

7/9

Listening :

7.5/9

Writing :

6.5/9

English Certificate (IELTS)

Conferences

Your Presentation Title :

AI in CMR imaging: Opportunities and Challenges

Conference Name :ISMRM Iranian chapter

Iran

2022

Journal Publications

Publication Title :

Harmonization of Myocardial Perfusion SPECT Radiomics Features: A Patient StudyThird author

Journal :

Journal of Nuclear Cardiology

Link :

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Publication Title :

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern RecognitionCorresponding author

Journal :

Journal of Digital Imaging

Link :

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Publication Title :

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning StudyFirst author

Journal :

Journal of Digital Imaging

Link :

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Publication Title :

Predicting One- and Three-month Hospital Readmission and In-hospital and Six-month Mortality for Patients with Heart Failure Using Machine Learning ApproachesFourth author

Journal :

International Journal of Medical Informatics

Link :

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Publication Title :

Myocardial Perfusion SPECT Imaging Delta-Radiomics for Percutaneous Coronary Intervention Post-Revascularization Ejection Fraction PredictionFirst author

Journal :

IEEE Nuclear Science Symposium and Medical Imaging Conference

Link :

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Publication Title :

Building a Robust Predictive Radiomics Model for Myocardial Perfusion SPECT: Leveraging Reproducible Radiomics Features for Improved Accuracy and ReliabilityFirst author

Journal :

IEEE Nuclear Science Symposium and Medical Imaging Conference

Link :

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Publication Title :

Cardiac SPECT Radiomic Features Repeatability and Reproducibility: Patient studyCorresponding author

Journal :

IEEE Nuclear Science Symposium and Medical Imaging Conference

Link :

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Research Keywords

Machine Learning

medical imaging

Quantitative Imaging

Radiomics

myocardial perfusion spect

Precision Medicine

Molecular Imaging

Awards

Math OlympiadTehran State2006-07-08

Chess TournamenTehran State2005-12-30

Robotic AUT Uni1st Place2008-12-30

References

Mahdi Orooji

morooji@ucdavis.edu; morooji@gmail.com

Ahmad Bitarafan Rajabi

bitarafan@hotmail.com

Mohammad Javad Alemzadeh Ansari

mjaansari@gmail.com

Azin Alizadeh Asl

alizadeasl@gmail.com

Zahra Bahmani

bahmani@ipm.ir