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Dr. Javad Alirezaie

Javad Alirezaie
BSc, MASc, PhD, PEng
416-979-5000 ext. 6092

Areas of Academic Interest

Biomedical signal and image processing

Computer aided diagnosis

Artificial neural networks

Pattern recognition

Computer vision and modelling

Bioinformatics and bioengineering


Year University Degree
1997 University of Waterloo PhD
1993 University of Waterloo MASc
1988 University of Tehran BASc

Courses Taught

Course Code Course
ELE 532 Signals and Systems I
ELE 632 Signals and Systems II
EE8202 Digital Image Processing


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.

Javad Alirezaie

“The biomedical field is open-ended. There is nothing that you can say is solved.”

  • Department Teaching Excellence Award
  • Department Research Excellence Award
  • Maryam Gholizadeh-Ansari,Javad Alirezaie, Paul Babyn. “Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer, Journal of Digital Imaging, Published First Online: 12 September 2019. JDIM-D-18-00494.
  • Zulma Sandoval, Miguel Castro, Javad Alirezaie, Francis Bessière, Cyril Lafon , “Transesophageal 2D Ultrasound to 3D Computed Tomography registration for the guidance of a High Intensity Focused Ultrasound cardiac arrhythmia therapy”, Physics in Medicine & Biology. 63: 13. July 2018.
  • Azar Tolouee, Javad Alirezaie, and Paul Babyn. “Nonrigid Motion Compensation in Compressed Sensing Reconstruction of Cardiac Cine MRI”, Magnetic Resonance Imaging Journal, 46, 114-120, 2018. 
  • Fariba Shaker; Javad Alirezaie, Ahmad Reza  Naghsh-Nilchi, “A Dictionary Learning Approach for Human Sperm Heads Classification”, Computers in Biology and Medicine, Volume 91 Issue C, December 2017.
  • Mahdi Marsousi, Kaveh Abhari, Paul Babyn, Javad Alirezaie," An Adaptive Approach to Learn Overcomplete Dictionaries With Efficient Numbers of Elements, IEEE Transactions on Signal Processing, Volume:62, Issue: 12 , Page(s) 3272 – 3283, June 2014.
  • Computer Vision and Image Processing (CVIP)
  • Associate editor of Medical Physics journal
  • Conference chair of VMVIT
  • Program and review committee member of CCVPR, ICPRAM, ICBES and EMBS conferences