Quantitative Analysis in Medicine Biology
Research for Better Life
What we do?
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 on bio-engineering approaches like optical methods that become a hot and up-and-coming procedures to introduce new endpoints and shed light on microscopic interactions. The QAMEBI research group is not affiliated to any organization or company.
About our people
Ali Abbasian Ardakani received his Ph.D. degree in Medical Physics in 2018 from Iran University of Medical Sciences (IUMS) with a specialization in medical imaging and utilization of artificial intelligence in radiological diagnosis …
- B.Sc. in Optic & Laser Engineering (2008-2012)
- M.Sc. in Medical Physics (2012-2015)
- Ph.D. in Medical Physics (2015- 2018)
COVID-19 Diagnosis
The COVIDiag software has been introduced to diagnose COVID-19 cases based on CT findings.
Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound Images
In this work, we show how a multi-resolution analysis-based CAD system can be utilized for the detection of early HTN-induced left ventricular heart muscle changes with the help of ultrasound imaging…
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
Computed tomography (CT) has thus far become a fast method to diagnose patients with COVID-19. However, the performance of radiologists in diagnosis of COVID-19 was moderate…
Clinical and radiological characteristics of pediatric patients with COVID-19: focus on imaging findings
CT imaging has been a detrimental tool in the diagnosis of COVID-19, but it has not been studied thoroughly in pediatric patients and its role in diagnosing COVID-19….