* * * * *

*. Full name:

Seyyed Ali Hosseini, MSc.

Medical Physics, Researcher

Email: adkjze@r.postjobfree.com

Phone number: +989*********

Date of writing CV: 25.02.2021

2. About:

I was born in 1995 in Karaj, Iran. I received the B.Sc. degree in Radiology, in 2017 from Shahid Beheshti University of Medical Science, Tehran, and I'm graduating in the MSc Degree in Medical Physics Tehran University of Medical Science, Tehran, in 2021. I have more than seven years of professional work experience as well as an interest in computer programming, data analysis, and artificial intelligence, especially in medicine. I'm familiar with all kinds of medical images such as CT, MRI, PET, SPECT, SONOGRAPHY, and their reports and the way of data acquisition and image processing. Since 2018 I have worked as a Researcher at the Tehran University of Medical Science. My research interests focus on radiomics and artificial intelligence in PET-CT images and using machine learning techniques for detecting abnormities. I am also currently using Matlab and Python software for image processing and machine learning. I also have a keen interest in clinical imaging (in particular AI in diagnostic imaging) and am currently collaborating with radiotherapy Center for passing radiotherapy physicists. In addition to a diverse technical repertoire, I have excellent written and oral communication skills gained through the regular presentation of my research work and interaction with people in a variety of different roles.

3. Date and place of birth, nationality, current residence

• 25.03.1995, Karaj, Iran (25 years old)

• Nationality and residence: Iranian

• Marital Status: Unmarried

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4. Education and degrees awarded:

• Master of Science (M.Sc.), Medical Physics, Tehran University of Medical Science, 2017-2021, School of Medicine (Department of Medical Physics and Biomedical Engineering)

Thesis title: Quantitative analysis of Radiomics feature in PET-CT for improving diagnosis of malignant lesions in lung cancer

Advisor: Professor Mohammad Ay, Final Grade: 17.65 / 20 (3.85/4)

Major Subject: PET-CT

• Bachelor of Science (B.Sc.), Radiology, Shahid Beheshti University of Medical Science, School of Allied Medical Sciences 2013- 2017

Advisor: Associated Professor Fariborz Faeghi

5. Professional Experience:

• Researcher and counselor: Medical Imaging System group lab (MISG), Imam Khomeini Hospital, Tehran University of Medical science 2018 - present

Image processing Researches on non-small cell lung cancers, including:

Differentiated Diagnosis between benign and malignant Non- Small lung Cell Cancer (NSCL) by Feature extracting from PET-CT Dicom images of the cancerous Lobe and Phantom study for selecting robust features

Differentiated Diagnosis between Benign and malignant lung cancer based on statistical analysis (Wilcox rank test for p-value, AUC univariate analysis.

Differentiated Diagnosis between Benign and malignant lung cancer using radiomics features by machine learning algorithms

(SVM, Random forest, Logistic regression, and extreme gradient boosting).

6. Work experience:

• Radiology technologist: Akhtar Hospital, Tehran, Iran March 2015 - March 2016

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Utilized ionizing radiation in the examination of internal organs, bones, cavities, and foreign objects.

Skills:

fully aware of human Anatomy

controlling and management of the radiology equipment

• CT technologist: Shohada Hospital, Tehran, Iran March 2016 - March 2017

Provided cross-sectional views (slices) of the body routine general CT scan (GE 16 slices)

Reconstructed additional images from acquired image to provide more information in either 2D pseudo-3D

Skills:

standard techniques

radiation safety practices

• CT technologist: Imam Hussein Hospital, Karaj, Iran April 2017- April 2018

CT general - CT angiography (provide detailed pictures of the heart and the blood vessels that go to the heart, lung, brain, kidneys, head, neck, legs, and arms. A CT angiogram can show narrowed or blocked areas of a blood vessel.)

Reconstructed additional images from acquired image to provide more information in either 2D or pseudo-3D (Philips 16 slices )

Skills:

standard techniques

radiation safety practices

• Scientific Representative: Parsineh Pad Medical Equipment Company, Tehran, Iran Jan 2018 - March 2019

Scientific presentation of radiotherapy tools especially External Beam Radiation Therapy for the customers and hospitals managers

Skills:

Organizational skills such as time management or research skills.

Communication skills such as listening and writing.

Interpersonal skills like empathy and flexibility.

Analytical skills such as critical thinking and problem solving.

• Radiology quality control technologist, Masih Daneshvari Hospital, Tehran, Iran March 2018 - Jan 2020

Monitored equipment utilization, retake/repeat analysis, QC logs

(Radiography, Fluoroscopy, CT)

Skills:

Maintain the quality of diagnostic images

Minimize the radiation exposure to patient and staff 4 P a g e

• Supervisor of medical imaging center: Imam Hussein hospital Feb 2020 – August 2020

Controlling and managing the staff and equipment

• Secretary of the Scientific Committee: Tehran University of medical science, medical physics department march2018- present

7. Skills:

• Medical imaging

• Radiomics

• Machine learning

• Deep learning

• Artificial intelligence in medicine branch

• Microsoft office package

• SPSS statistical package

• MATLAB

• PYTHON

8. Professional skills in work:

Attention to the details.

Ability to work as an individual and as part of a medical team of specialists.

Excellent communication skills.

Able to work well in stressful conditions.

Critical thinking.

Extensive knowledge of and an aptitude for the medical profession.

Real desire to help patients get better.

Deal with sometimes difficult topics.

Be understanding of patient concerns and anxieties.

Good levels of dexterity.

Desire to keep learning and improving my skills.

Practical skills.

9. Research interest:

My research areas include, but are not limited to:

• Artificial intelligence in medical imaging

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• Radiomics

• Machine learning

• Deep learning

• Medical imaging includes:

PET-CT and PET-MRI (Multi modalities)

MRI (Multi modalities)

• Radiotherapy

• Sonography

10. Language:

• Persian: Native

• English: Fluent

o IETLS TEST: Overall: 6.5, (speaking =7)

• Date of exam: January 2021

11. Publication:

• preparing for publish 2 articles :

1. My first article is under revision. Title: "Synergistic impact of Motion and Acquisition/Reconstruction Parameters on 18F-FDG PET Radiomics Features in Lung Cancer: A Phantom and Clinical Study" (Submitted, 2021) (Also, in this paper, we examined that how effective it is to use robust features to differentiating malignant cancers in a patient with non-small cell lung cancer) This work has been done with the cooperation of Geneva university. 2. My second paper will ready next month. Title: "machine learning methods for differentiating malignant cancer in NSCL patients." we used robust features as the machine learning algorithm's input, and the results are excellent too). 3. I have recently been invited to lead a project about the Impact of contouring variability on oncological PET radiomics features in the lung. (This work will be done with the cooperation of Geneva University.)

4. Another project with Pennsylvania University's cooperation started about differentiating two groups of the IDH mutant and IDH wild-type Glioblastoma in MRI images by leading me.

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