Group Members

clockwise from top-right: Shawn Andrews,
Chris McIntosh, Brian Booth,
Andrew Top, Masoud Nosrati, Jeremy
Kawahara, Lisa Tang, Hengameh Mirzaalian,
Tayebeh Lotfi, Ahmed Saad,
Ghassan Hamarneh
Prospective Students
Open PhD
Position
Visiting students, see
this.
Openings
We have openings for projects and/or theses work related to biomedical
imaging, image processing and analysis, 3D shape modeling and related
topics. See
Research overview and Skills
needed and acquired at MIAL. More about MIA topics from
MICCAI website and
from
MedIA journal.
Funding
- Fully funded positions are available for outstanding students
and trainees at different levels (undergrad, masters, doctorate,
postdoctoral).
- Funding is primarily or completely provided through research
assistantships.
- Funding for conference travel is also available.
- Top-ups for scholarships holders (e.g. NSERC) are available.
- There are other several sources of top-ups and
internal funding from SFU and external funding form
NSERC,
CIHR,
MSFHR,
MITACS (e.g.
globalink) and others...
Infrastructure
- Student will have access to an exciting research environments
and state-of-the-art, CFI-funded
infrastructure (software, workstations, high-performance computers,
visualization, etc) at the medical image analysis lab and through other
computing infrastructures e.g.
SCIRF,
WESTGRID, in
addition to access to unique medical image data from national and
international clinical collaborators!
Courses requirements
- PhD students typically need to pass 4 courses (after their
Masters). Masters thesis students must pass 5 courses, whereas masters
project students require 8 courses.
- Take a look at the skills needed and
acquired at MIAL.
- Consider a project-based course
CMPT415 / CMPT894 or my
other courses. There are many other relevant courses in Computing
Science, Engineering, Mathematics, Kinesiology, and even at other
universities, e.g. at UBC (through the
WCDGS agreement).
Location
Career opportunities:
- ITK jobs
| ImageScience.org |
NIBIB | CMPT-Research-Jobs ...
- Example companies
- Example research groups/websites
- Vancouver hospitals and medical centres (VGH, LGH, BCCA, BCCW, BRC,
many more...)
Other benefits of carrying out research at MIAL
- Learn about medical imaging and biomedical image computing. Medical
imaging has revolutionized medicine and the role of computing continues
to grow. There is a demand in the industry, hospitals, and
academia for skilled computer scientists with skills in
interdisciplinary research and development. Also note that Health and
Imaging Science have been identified as strategic research directions
for SFU.
- Learn to apply computing science, engineering, and mathematical
methods to real-life health-related medical imaging applications.
- Participate in national and international research collaborations to
solve difficult problems related to health and medical imaging while
using computational and mathematical techniques.
- Learn new programming skills or improve your existing skills (e.g.
using Generic programming and MATLAB) and apply it to medical image
processing.
- Learn to use 3D medical imaging software (e.g. slicer, volview) and
medical imaging API (e.g. ITK).
- Learn how to implement medical image processing/analysis algorithms,
analyze the performance and limitations of such algorithms, and invent
or design better algorithms.
- Learn about general health applications of computing, medical
imaging in particular.
- Work and establish links to doctors and hospitals. Our collaborators
appreciate the need for skilled computer scientists and mathematicians.
We work together on solving clinical problems (diagnosis, therapy, and
understanding of diseases), through medical imaging.
- Tap into health funding for graduate and postdoctoral studies in
computer science, engineering or math (e.g.
CIHR,
MSFHR). Some of my students hold
such funding.
- Improve your writing skills and become involved in publishing at
national and international conferences and journals. Travel in Canada or
abroad to present your work Even some of my undergraduate students have
published and participated in international conferences.
- Apply many of the methods learned for analyzing medical images to
other visual computing applications.
Interested students?
More info about graduate studies?
Former Students
Student names are followed by the student's current
affiliation. If you believe there is an error in the stated affiliation
please contact me.
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