Ghassan Hamarneh
 School of Computing Science
 Faculty of Applied Science
 Simon Fraser University

 ACM Senior Member & IEEE Senior Member
 BRC RAMP NeuroDevNet NeuroScience

Medical Image Analysis Lab

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News | Bio | Research | Publications Teaching | Group | Software | Funding

Interested in joining my group?

PhD positions / Postdoctoral fellowship available

I suggest you examine my research, publications, and projects pages and visit the Medical Image Analysis Lab webpage to get a better idea about my group's area of research.

SFU students: Take a look at the courses I teach, including the special research projects and direct reading courses. Contact me if you like to discuss joining my group.

Non-SFU students: Read about the School of Computing Science and understand how to apply for the CS graduate program. See also SFU pages for prospective undergraduate and graduate students. Applications deadlines: Aug 1 for the Spring term and Feb 1 for the Fall.

If you would like me to know about who you are, your background, interests, etc. so I can informally evaluate your suitability for joining my group, please complete and submit the following form and read the information below.  Note: The form below is NOT a formal application to our school.

  • My name is and email 
  • I was born in 
  • I am interested in the graduate program at SFU CS and MIAL
  • My bachelor's degree is from in with total grade point average of % (out of 100) and a graduation thesis/project available at:  
  • Skip if you do not have a master's. My master's degree is from in with total grade point average of % (out of 100) and a graduation thesis available at:
  • My homepage is at:
  • My CV is available from:
    Note: You can use DropBox, Google Drive, MS OneDrive, etc. to post files. 
    Give read permission to
  • Links to the PDF or DOI of my  top 3 publications (skip if you don't have any),

  • Do you pass the minimum English requirements.
    I completed exam: 
    I obtained scores:     .
  • Other important comments:

More Information

Visiting students:
  • Read the guidelines here
  • I am unable to host undergraduate students for visits less then 4 months except via MITACS Globalink .

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.

Note: I am not recruiting students in 2014 for the image-guided robotic surgery project with Qatar.

  • 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.
Lab 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). Master's thesis students must pass 5 courses. Master's 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).
Career opportunities:
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.
More info about graduate studies?



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