Mahboubeh Sadat Hosseinicover image
Mahboubeh Sadat Hosseiniavatar

Mahboubeh Sadat Hosseini

Dedicated researcher with expertise in applying advanced image processing and deep learning techniques to medical imaging, particularly in MRI geometric distortion correction, PET partial volume correction, and quantitative image analysis. My research spans MRI, PET, and their applications in neurodegenerative disease diagnosis. I aim to further advance the fields of medical image processing, reconstruction, and personalized medicine through innovative AI-driven approaches, with a particular focus on improving diagnostic accuracy for neurodegenerative diseases using multimodal imaging techniques. Skills: ▪ Programming: Python (advanced), MATLAB (advanced) ▪ Deep Learning Frameworks: TensorFlow, PyTorch, Pyradiomics ▪ Medical Imaging Software: FSL, PMOD, SPM, 3DSlicer ▪ Simulation Tools: COMSOL Multiphysics, MCNP ▪ Statistical Analysis: SPSS, R, MedCalc ▪ Machine Learning and Deep Learning algorithm development ▪ Advanced image processing and analysis techniques ▪ Quantitative image analysis and radiomics feature extraction ▪ Data collection, cleaning, and analysis ▪ Scientific writing and presentation
Living in : Iran
Gender : FemaleRace : White
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Academic Profile
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Contact Information

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Educations

Shahid Beheshti University logo
Medical Radiation PhysicsPhDShahid Beheshti University2024-06-30 Iran
Supervisor's name :Prof. Seyed Mahmoud Reza Aghamiri - Dr. Ali Fatemi Ardekani
Title :
Application of Deep Learning in Improving MR Images for Treatment Planning of Brain Tumors by MR-Guided Stereotactic Radiosurgery
Shahid Beheshti University logo
Medical Radiation PhysicsMaster'sShahid Beheshti University2016-07-11 Iran
Supervisor's name :Prof. Seyed Mahmoud Reza Aghamiri
Title :
Simulation and evaluation of necessary detector parameters on synchrotron medical beamline (Mammography Application)
University of Kashan logo
PhysicsBachelor'sUniversity of Kashan2013-08-23 Iran
Supervisor's name :Dr. Mohammad Torkiha Esfahani
Title :
Evaluation of proton scanning microprob

Work Experiences

Research Assistant (Project: Diagnosis of Parkinson's disease)
at Shahid Beheshti University
Start : 31-Aug-2017
End : 31-Jul-2018
Workshop Instructor (Introductory workshop on diffusion tensor imaging and FSL software)
at Shahid Beheshti University
Start : 21-Jun-2019
End : 29-Jun-2019
Teaching Assistant (Radiation Detection and Detection Course)
at Shahid Beheshti University
Start : 31-Aug-2018
End : 30-Jun-2019
Teaching Assistant (Physics of Radiation Therapy Course)
at Shahid Beheshti University
Start : 28-Feb-2019
End : 30-Jun-2019
The internship (Radiation Therapy Treatment Planning)
at Haft-e-Tir Hospital
Start : 31-Dec-2018
End : 31-Aug-2019
Teaching Assistant (Health Physics Course)
at Shahid Beheshti University
Start : 31-Aug-2020
End : 31-Dec-2020

English Scores

IELTS30-Nov-2022
6.5/9Total
Reading :
6.5/9
Speaking :
6.5/9
Listening :
6.5/9
Writing :
6.5/9

Conferences

Your Presentation Title :
Non-quadratic regularization parameters selection for model-based geometrical distortion correction of MRI images
Conference Name :IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Evaluate non-quadratic jointly model-based reconstruction method to correct MRI images geometrical distortion: Using Pari Head QC phantom
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Evaluation and simulation of a sample pixelated detec-tor aimed at use in mammography application in synchrotron medical beamline
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Supervised Classification of Mean Diffusivity in Substantia Nigra for Parkinson's Disease Diagnosis
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Attention-Based Deep Neural Network for Early Detection of Parkinson's Disease
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Early Detection of Parkinson's Disease Based on Diffusion Tensor Imaging and Deep Learning
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Dual-Energy Material Discrimination Using Beam Spectra Obtained From Percentage Depth Dose
Conference Name : IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
Italy
2022
Your Presentation Title :
Simulation of Modulation Transfer Function of a GaAs Pixel Detector for Mammography with Synchrotron Radiation
Conference Name :Iranian Particle Accelerator Conference
Iran
2017
Your Presentation Title :
Evaluation of Image Performance of a GaAs Pixel Detector for Breast Tomography with Synchrotron Radiation: A Simulation Study
Conference Name :8th ILSF User’s Meeting
Iran
2016

Journal Publications

Publication Title :
Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imagingFourth author
Journal :
Physica Medica
Link :
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Publication Title :
Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imagingFourth author
Journal :
Quantitative Imaging in Medicine and Surgery
Link :
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Publication Title :
Evaluation of deep-learning based partial volume correction of PET images without the use of anatomical informationFourth author
Journal :
Journal of Nuclear Medicine
Link :
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Publication Title :
Reproducibility of radiomics features in partial volume correction of PET imagesFourth author
Journal :
Journal of Nuclear Medicine
Link :
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Publication Title :
AutoCorNN: an unsupervised physics-aware deep learning model for geometric distortion correction of brain MRI images towards MR-only stereotactic radiosurgery.First author
Journal :
Journal of Digital Imaging
Link :
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Publication Title :
Comparative assessment of attention-based deep learning and non-local mean filtering for joint noise reduction and partial volume correction in low-dose PET imagingFourth author
Journal :
Journal of Nuclear Medicine
Link :
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Publication Title :
Assessing the Stability and Discriminative Ability of Radiomics Features in the Tumor Microenvironment: Leveraging Peri-Tumoral Regions in Vestibular Schwannoma.First author
Journal :
European Journal of Radiology
Link :
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Research Keywords

Image Segmentation
Inverse problems in MRI and CT imaging
AI-driven approaches for neurodegenerative disease diagnosis
Advanced image processing and reconstruction techniques for MRI and PET
PET partial volume correction techniques
Physics-aware deep learning models for medical imaging
Translation of Research to Clinical Applications
MR-guided stereotactic radiosurgery optimization
Quantitative image analysis and radiomics

Awards

First Rank Student in UniversityPHD
Full ScholarshipFull Scholarship for master’s degree program from Shahid Beheshti University2013-08-31

References

Seyed MahmoudReza Aghamiri
smr-aghamiri@sbu.ac.ir
Ali Fatemi-Ardekani
ali.fatemi-ardekani@jsums.edu
Hossein Arabi
hossein.arabi@unige.ch