The University of Winnipeg



Medical Physics Summer Student Symposium

Cameron Russel, Dr. Andrew Goertzen

Cameron Russell, Dr. Andrew Goertzen, photo supplied

The University of Winnipeg and University of Manitoba held the annual Medical Physics Summer Student Symposium via Zoom earlier this month.

The symposium gathers the medical physics summer students scattered around the city (UWinnipeg, UManitoba Bannatyne, UManitoba Fort Garry, and CancerCare) to give students and faculty a chance to learn about the research their colleagues are doing.

Virtual medical physics symposium

Virtual medical physics symposium

Five undergraduate summer students who do medical physics research presented their work at the symposium that also includes a notable keynote speaker. This year’s keynote was Dr. Ivan Klyuzhin, a research programmer at the British Columbia Cancer Research Institute and a postdoctoral research fellow at Microsoft. He presented Novel Image Analysis Methods in PET Imaging Driven by Machine Learning: Their Development and Applications.

Students that presented included:

Cameron Russell, Characterization of a Time-of-Flight PET Detector System, UWinnipeg.

Russell graduated this summer and did his honours thesis and summer work with Dr. Andrew Goertzen at Health Sciences Centre (HSC). He’s starting his Master of Science this fall at UWinnipeg with Dr. Andrew Goertzen in physics.

Melissa Anderson, Mouse Bed for In Vivo MRI, UWinnipeg.

Anderson graduated this year with a Bachelor of Science in physics and did her honours thesis and summer work with UWinnipeg’s Dr. Melanie Martin. She’s starting her Master of Science this fall with Martin in biomedical engineering.

Jordan Krenkevich, Machine Learning for Suppressing the Skin Response in Breast Microwave Sensing, UManitoba.

Kaihim WongMoving Toward Live Non Diameter Measurements in Mice, UWinnipeg.

Wong finished his third-year Bachelor of Science in physics degree at UWinnipeg, and also worked with Martin. 

Gabrielle Fontaine, PET scatter image reconstruction with CNN machine learning, UManitoba.

The presentation winners were Fontaine and Krenkevich, who won first and second respectively. They worked with Dr. Stephen Pistorius at UManitoba, and are starting graduate school in the fall with Pistorius.

The symposium was organized by Martin and Andrea Wiebe in the Department of Physics thanks to funding from the Dean of Science at UWinnipeg and The Department of Physics and Astronomy at UManitoba.

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