Dr. Javad Alirezaie
Areas of Academic Interest
Biomedical signal and image processing
Computer aided diagnosis
Artificial neural networks
Pattern recognition
Computer vision and modelling
Bioinformatics and bioengineering
Spotlight
Javad Alirezaie鈥檚 professional trajectory is a matter of basic math. An innate ability to fix electronics, combined with top grades throughout Alirezaie鈥檚 high school studies, equated to a bachelor鈥檚 degree in electrical engineering. Later, when it came time to further his graduate studies, Alirezaie鈥檚 engineering expertise plus his wife鈥檚 medical science expertise led to master鈥檚 and PhD degrees in systems design engineering, specializing in biomedical engineering. 鈥淢y wife was a medical scientist and I was an engineer,鈥 he explains. 鈥淲hen 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.鈥
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鈥檚 top research hospitals allow Alirezaie to make the most impact. 鈥淢y 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.
鈥淭he biomedical field is open-ended. There is nothing that you can say is solved.鈥
- Department Teaching Excellence Award
- Department Research Excellence Award
- Maryam Gholizadeh-Ansari,Javad Alirezaie, Paul Babyn. 鈥淒eep 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 Bessi猫re, Cyril Lafon , 鈥淭ransesophageal 2D Ultrasound to 3D Computed Tomography registration for the guidance of a High Intensity Focused Ultrasound cardiac arrhythmia therapy鈥, Physics in Medicine & Biology. 63: 13. July 2018.
- Azar Tolouee, Javad Alirezaie, and Paul Babyn. 鈥淣onrigid Motion Compensation in Compressed Sensing Reconstruction of Cardiac Cine MRI鈥, Magnetic Resonance Imaging Journal, 46, 114-120, 2018.
- Fariba Shaker; Javad Alirezaie, Ahmad Reza Naghsh-Nilchi, 鈥淎 Dictionary Learning Approach for Human Sperm Heads Classification鈥, 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 鈥 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