Dr. Javad Alirezaie received his B.Sc. degree in Electrical and Electronic Engineering from Tehran University in 1988 and his M.A.Sc. and Ph.D. degrees in Systems Design Engineering from University of Waterloo in 1993 and 1996, respectively. From 1997 to 2000 he was a postdoctoral fellow, an Assistant Professor and an R&D fellow in a private sector. He joined Ryerson University in 2001. He is currently a full Professor in the Department of Electrical Engineering and an adjunct professor with the Department of Systems Design Engineering at
Medical Image Processing:
I am collaborating with clinician-scientists at research based hospitals, i.e. Hospital for Sick Children (HSC), a leading research institute in pediatric research in
This research is concerned with providing computers with a perceptual capability in the sense that the significant underlying patterns in a given data set are to be automatically classified or recognized. Data analysis is approached as a problem in determining the similarity between an unknown input pattern and known classes represented in memory. My interest in pattern recognition is currently focused on Magnetic Resonance Images (MRI), mainly segmentation of MR brain images. Traditional and Neural Network approaches are being developed. Pattern recognition has other applications including data analysis, character recognition and classification, etc.
My interest in image processing is focused on image compression, image segmentation and image enhancement. New methods for image compression, vector quantization and transform coding are investigated including adaptive and neural network approaches. Applications include document processing and medical image archival and retrieval systems.
BME872: Biomedical Image Analysis
Maintained by javad(at)ryerson.ca