Faculty
Adjunct Professor
Mehdi Moradi
Dr Moradi holds a B.Sc. degree in biomedical engineering from Tehran Polytechnic, an M.Sc. degree in biomedical engineering from University of Tehran (2003), and a PhD in (biomedical) computing from Queen's University, Kingston, Ontario (2008). He has since served as an NSERC postdoctoral fellow at the University of British Columbia, and a lecturer of biomedical engineering at Simon Fraser University in Vancouver, Canada. He has also worked as a research scientist at the National Center for Image Guided Therapy within Harvard Medical School in Boston, MA (2011-2012). His broad research interests are machine learning in medical image analysis, image-guided therapy and diagnosis, and multimodality and multiparametric imaging with emphasis on MRI and ultrasound. He joined the ECE department at UBC as a faculty member in May 2012. Dr. Moradi is the Workshop and Tutorial Chair of MICCAI 2014 in Boston and a program committee member of MICCAI 2013 and 2014.
Research Areas
Research Groups
Courses
| ELEC 422 |
Biosignals and Systems Data acquisition, time and frequency domain analysis, analog and discrete filter design, sampling theory, time-dependent processing, linear prediction, random signals, biomedical system modeling, and stability analysis; introduction to nonlinear systems. |
| EECE 571S |
Machine Learning in Medical Image and Signal Analysis First lecture slides, with a more detailed description of material and marking schemes are posted here: http://www.ece.ubc.ca/~moradi/Lecture01_EECE571S.pdf |
Latest Publications
| 2014 |
Handling missing DCE data in prostate cancer detection using multiparametric MRI Conference Paper | Annual Meetings of the International Society for Magnetic Resonance in Medicine (ISMRM 2014) |
| 2014 |
Multiparametric 3D in vivo ultrasound vibroelastography imaging of prostate cancer: Preliminary results Journal Article | Medical physics |
| 2008 |
Prostate cancer probability maps based on ultrasound RF time series and SVM classifiers Journal Article | Med Image Comput Comput Assist Interv |
| 2008 |
A comparison of neural networks and support vector machines for detection of prostate cancer based on RF ultrasound time series Miscellaneous |
| 2008 |
Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series Conference Paper | Workshop on Prostate Image Analysis and Computer Assisted Intervention, a Satellite Workshop of International Conference on Medical Image Computing and Computer Assisted Intervention |
| Show more |
Contact
Office: KAIS 4014Electrical and Computer Engineering
The University of British Columbia
4014 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
http://www.ece.ubc.ca/~moradi/
