There are research opportunities for undergraduate students, who are interested in working in medical image analysis.
Please contact me with your CV. You are also highly encouraged to apply for NSERC Undergraduate Research Awards.
There are two Ph.D. positions available in our Medical Image Analysis Lab in Fall 2018 at Systems and Computer Engineering at Carleton University, Canada.
The projects will involve developing advanced image segmentation methods based on latest machine learning technologies to enable (semi-) automated identification of challenging 3-dimensional anatomic structures from images with low contrast and/or spatial resolution. Image analysis methods will be developed to identify cardiac tissues that are abnormal or at-risk of progressing from sub-clinical to symptomatic disease states. We are also exploring the use of machine learning techniques (e.g., convolution neural networks) for image segmentation and registration. These projects will be in collaboration with the Ottawa University Heart Institute and Sunnybrook Research Institute.
For top Candidates, I am happy to nominate to the Ontario Trillium Scholarship (OTS), where more information can be found through the link below:
OTS scholarship
Qualifications: The ideal candidate will have a master’s degree in, Engineering, Computer Science, Medical Physics, or related field with experience in medical image processing. Familiarity and past experience with 3D Slicer, python and/or VTK/ITK programming would be an asset.
The prospective graduate students have the opportunity to participate in the Ottawa-Carleton Institute for Biomedical Engineering. The students have the opportunity to participate in cutting-edge and multi-disciplinary research projects involving development and evaluation of image analysis methodologies. Please refer to the following profiles for more information on my research interests, and contact me if you are interested.