Javad Alirezaie
Professor
Researcher, Institute for Biomedical Engineering, Science and Technology (iBEST)
Faculty of Engineering and Architectural Science
Department of Electrical, Computer, and Biomedical Engineering
Toronto, Ontario
javad@torontomu.ca
Office:
(416) 979-5000 ext. 556092
Expert In
Artificial intelligence
Bioinformatics and bioengineering
Biomedical signals and image processing
Biomedical tools and technologies
Computer aided medical diagnosis
Detection and monitoring of lesions
IBEST
Low-dose computed tomography (CT) denoising
Machine learning
Neural networks
Pattern recognition in Magnetic Resonance Images (MRI)
Theme: Health and wellbeing
Theme: Transformative technology
Bio/Research
Javad Alirezaie’s professional trajectory is a matter of basic math. An innate ability to fix electronics, combined with top grades throughout Alirezaie’s high school studies, equated to a bachelor’s degree in electrical engineering. Later, when it came time to further his graduate studies, Alire...
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Bio/Research
Javad Alirezaie’s professional trajectory is a matter of basic math. An innate ability to fix electronics, combined with top grades throughout Alirezaie’s high school studies, equated to a bachelor’s degree in electrical engineering. Later, when it came time to further his graduate studies, Alirezaie’s engineering expertise plus his wife’s medical science expertise led to master’s and PhD degrees in systems design engineering, specializing in biomedical engineering. “My wife was a medical scientist and I was an engineer,” he explains. “When we talked about the two disciplines, I noticed the gaps between them and thought it would be nice to learn from, and transfer knowledge to, the medical side.”
Transferring knowledge comes easily to Alirezaie, a professor and researcher who works collaboratively with hospitals including SickKids and Sunnybrook in the field of medical image acquisition and processing. His work is in the area of low-dose CT imaging, where denoising techniques allow Alirezaie to reduce the risk of X-ray radiation exposure for pediatric patients undergoing CT scans. Similarly, he is working to develop and implement robust techniques to efficiently acquire and reconstruct MRI scans, ultimately improving the speed and quality of MRI and reducing patient wait times. The close partnerships with Canada’s top research hospitals allow Alirezaie to make the most impact. “My research is directly related to the benefits that patients will receive. It makes me happy, doing something that can help people who need it most.
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Transferring knowledge comes easily to Alirezaie, a professor and researcher who works collaboratively with hospitals including SickKids and Sunnybrook in the field of medical image acquisition and processing. His work is in the area of low-dose CT imaging, where denoising techniques allow Alirezaie to reduce the risk of X-ray radiation exposure for pediatric patients undergoing CT scans. Similarly, he is working to develop and implement robust techniques to efficiently acquire and reconstruct MRI scans, ultimately improving the speed and quality of MRI and reducing patient wait times. The close partnerships with Canada’s top research hospitals allow Alirezaie to make the most impact. “My research is directly related to the benefits that patients will receive. It makes me happy, doing something that can help people who need it most.
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