Research for Better Life

The main goal of the QAMEBI research group is to use artificial intelligence to improve the radiologists’ understanding of conventional medical imaging, and help them make better diagnoses.

Besides, we are studying bioengineering approaches like optical methods that have become a hot and up-and-coming procedure to introduce new endpoints and shed light on microscopic interactions.

The QAMEBI research group is not affiliated with any organization or company.

Head of QAMEBI research group

ali abassian

Ali Abbasian Ardakani

He received his Ph.D. in Medical Physics in 2018 from the Iran University of Medical Sciences (IUMS), specializing in medical imaging and using artificial intelligence in radiological diagnosis. His research interests focus on the physics of ultrasound, magnetic resonance imaging (MRI), computed tomography (CT) imaging, medical image processing, quantitative analysis of medical images, applying artificial intelligence in diagnostic radiology procedures, and bio-optic techniques in biological fields. He is an assistant professor of Medical Physics at Shahid Beheshti University of Medical Sciences.

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EDUCATION

  • B.Sc. in Optic & Laser Engineering (2008-2012)
    Department of Applied Physics, Malek-Ashtar University of Technology, Shahinshahr, Iran
  • M.Sc. in Medical Physics (2012-2015)
    Department of Medical Physics, Faculty of Medicine, Urmia University of Medical Science, Urmia, IRAN
  • Ph.D. in Medical Physics (2015- 2018)
    Department of Medical Physics, Faculty of Medicine, Iran University of Medical Science, Tehran, IRAN

Research Focus

  • Ultrasound
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Computer-Aided Diagnostic (CAD) System
  • Image Processing studies
  • Machine Learning
  • Deep learning
  • Bio-optic studies

Honors & Awards

  • Top student” among M.Sc. Students of Medical Physics at Urmia University of Medical Sciences (UMSU, 2015)
  • Recognized as “Top Inventor” by the Ministry of Health and Medical Education (MOHME) at M.Sc. Degree (2016)
  • Recognized as “Top Inventor” by Iran University of Medical Sciences (IUMS) on the Research Day (2016)
  • Recognized as a “Top Inventor” by the Ministry of Health and Medical Education (MOHME), at Ph.D. Degree (2018)
  • Recognized the Book Entitled “Principle and Advanced Techniques of Ultrasound Waves in Diagnostic and Therapy” as Iran’s Top Medical Book (2019)
  • Recognized the COVID-19 Research Project as the Top National Research in 27th Iran’s Razi Research Festival on Medical Sciences (2022)
  • Recognized the as the “Top Young Scholar” by The Iranian Academy of Medical Sciences (2023)
  • Recognized the Article Entitled “Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?” as Top Cited Article 2022-2023 in Journal of Ultrasound in Medicine (2024)

Academic Appointments

  • Assistant Professor of Medical Physics, Radiology Technology Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Editorial Board Member of SN Comprehensive Clinical Medicine Journal, Springer, ISSN: 2523-8973
  • Editorial Board Member of World Journal of Radiology, ISSN: 1949-8470

Our dreams...

He pursues his dreams of building computer-aided diagnosis systems to help radiologists diagnose diseases and provide a better life for humans.