Mobin Mohebicover image
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Mobin Mohebi

I hold a Master's in Biomedical Engineering from Tarbiat Modares University, specializing in Cardiology. My research delves into Radiomics, Image Analysis, Deep Learning, and Machine Learning, all applied to medical imaging. Currently, I'm immersed in pioneering work using MPI-SPECT, MRI, and PET/CT modalities for applications in prediction, survival assessment, precision medicine, and personalized cancer treatment.
Living in : Iran
Gender : MaleRace : Middle Eastern
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Academic Profile
Posts

Contact Information

-Email
live:.cid.7505191b13363b16Skype ID
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Educations

Tarbiat Modares University logo
Biomedical EngineeringMaster'sTarbiat Modares University2021-09-04 Iran
Supervisor's name :Mahdi Orooji
Title :
Radiomics analysis for predicting the post-revascularization ejection fraction before percutaneous coronary intervention
Islamic Azad University Qazvin logo
Biomedical EngineeringBachelor'sIslamic Azad University Qazvin2016-09-20 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
Research Assistant
at Tarbiat Modares Universit
Start : 31-Jan-2019
End : 30-Oct-2021

English Scores

IELTS07-Dec-2022
7/9Total
Reading :
7/9
Speaking :
7/9
Listening :
7.5/9
Writing :
6.5/9

Conferences

Your Presentation Title :
Machine Learning-based Prediction of Ventricular Function, Myocardial T2*, and Liver Parameters in Thalassemia Patients using MRI Images
Conference Name :RSNA 2023
United States of America (USA)
2023
Your Presentation Title :
Early Detection of Trastuzumab Cardiac Toxicity by Cardiac MRI in HER-2 Positive Breast Cancer Patients
Conference Name :RSNA 2023
United States of America (USA)
2023
Your Presentation Title :
Myocardial Perfusion SPECT Imaging Delta-Radiomics for Percutaneous Coronary Intervention Post-Revascularization Ejection Fraction Prediction
Conference Name :2023 IEEE NSS & MIC
Canada
2023
Your Presentation Title :
Building a Robust Predictive Radiomics Model for Myocardial Perfusion SPECT: Leveraging Reproducible Radiomics Features for Improved Accuracy and Reliability
Conference Name :2023 IEEE NSS & MIC
Canada
2023
Your Presentation Title :
Machine Learning-Based Predictive Models for Transcatheter Aortic Valve Implantation (TAVI) Outcomes: Improving Procedural Success and Patient Care
Conference Name :2023 IEEE NSS & MIC
Canada
2023
Your Presentation Title :
Echocardiography Radiomics Features for Cardiotoxicity Prediction in Cancer Patients Using Interpretable Machine Learning Algorithms
Conference Name :2023 IEEE NSS & MIC
Canada
2023
Your Presentation Title :
Maximizing the Predictive Power of Radiomic Features in SPECT Images: A Comparative Study of Reconstruction Algorithms Using Machine Learning
Conference Name :2023 IEEE NSS & MIC
Canada
2023
Your Presentation Title :
Cardiac SPECT Radiomic Features Repeatability and Reproducibility: A Patient Study
Conference Name :2022 IEEE NSS & MIC
Italy
2022
Your Presentation Title :
AI in CMR imaging: opportunities & challenges
Conference Name :ISMRM - Iranian Chapter
Iran
2022

Journal Publications

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 :
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern RecognitionCorresponding author
Journal :
Journal of Digital Imaging
Link :
View Link
Publication Title :
Harmonization of Myocardial Perfusion SPECT Radiomics Features: A Patient StudyThird author
Journal :
Journal of Nuclear Medicine
Link :
View Link

Research Keywords

Machine Learning
Medical Image Analysis
Deep Learning
Quantitative Imaging
Radiomics
Precision Medicine

Awards

1st placeNat. Robotic2009-05-17
Math OlympiadTehran State2006-01-12

References

Mahdi Orooji
morooji@gmail.com
Ahmad Bitarafan
bitarafan@hotmail.com
Isaac Shiri
isaac.shirilord@unige.ch
Azin Alizadeh
alizadeasl@gmail.com
Mohammad Javad Alemzadeh Ansari
mjaansari@gmail.com