Senior Medical Physicist, BC Cancer Agency, Centre for the Southern Interior
Founder, Early Detection Research Group
Clinical Assistant Professor, Surgery, UBC
Adjunct Professor, Computer Science, UBCO
Visiting Senior Research Fellow, Saw Swee Hock School of Public Health, National University of Singapore
I founded the Early Detection Research Group in 2008 following my own experience with cancer. Based within the BC Cancer Agency – Centre for the Southern Interior, we have now grown into a dynamic multidisciplinary research team comprised of students, research associates, and clinician scientists. As a group, we focus on reducing the burden of cancer by developing risk-based prognostication of cancer incidence and outcomes. We also work on estimating the impact that individual risk-based early interventions have at the various levels of the health care system, from the individual to the general population. In this way, we hope to improve the outcomes and quality of life for people with cancer.
- Medical Imaging
- Health and Medical Imaging Informatics
- Image Guidance in Radiation Therapy
- Image Processing
- Cancer Risk Modeling
- Micro-simulations in Population Oncology using GPU
- Decision Support Systems in Oncology
- Web and Mobile Technologies in Health Care
I offer students a unique perspective into the applications of data science, computer science and physics within the health care system. I aim for my courses to be informative and engaging, and also to provide stepping stones towards my students’ future careers, whether they be in academia, the health care sector, or information technology.
COSC 335 – Introduction to Medical Imaging and Imaging Informatics
Fundamental image analysis techniques. Image creation, manipulation, optimization, and analysis to aid in the diagnosis and treatment of human health conditions. Generation and display of X-ray, CT, MRI, Ultrasound and Nuclear Medicine images. Imaging Informatics and its place in the Electronic Medical Record. Credit will not be granted for both COSC 335 and PHYS 336.
PHYS 336 – Introduction to Medical Imaging
X-ray, CT, MRI, Ultrasound and Nuclear Medicine images: creation and use to aid in the diagnosis and treatment of human health conditions. Radiation safety and regulatory aspects of Medical Imaging. Emphasis on multi-disciplines: especially the role of Physics, Mathematics, Statistics and Computer Science in the field of Medical imaging. Credit will not be granted for both PHYS 336 and COSC 335.
Assessing the Effects of Participant Preference and Demographics in the Usage of Online Survey Questionnaires by Women Attending Screening Mammography in British Columbia R Mlikotic, B Parker, R Rajapakshe. J Med Internet Res 2016;18(3):e70 DOI: 10.2196/jmir.5068
An Internet Based Means of Monitoring Quality of Life for Post-Prostate Radiation Treatment: A Prospective Cohort Study B Parker, R Rajapakshe, A Moldovan, C Araujo, J Crook. JMIR Res Protoc 2015;4(3):e115.
Development of a Micro-simulation Model for Breast Cancer to Evaluate the Impacts of Personalized Early Detection Strategies. R Rajapakshe, C Araujo, C Vandenberg, B Parker, S Smithbower, C Baliski, S Ellard, L Kovacic, M Reed, S Tyldesley, G Fyles, R Mlikotic, Lecture Notes in Computer Science, 8539, 372-379, 2014
A randomized trial comparing seed displacement of coated seeds to regular loose seeds at 30 days postimplant. D Bowes, M Gaztañaga, C Araujo, D Kim, B Parker, D Batchelar, M Milette, R Rajapakshe, D Petrik, R Halperin, J. Crook, Brachytherapy Journal, 12(4), 362-367, 2013
Characterization of Varian on-board imaging systems for use in automatic exposure control software. D. Morton, R. Rajapakshe and C. Araujo, Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86685Z (March 6, 2013); doi:10.1117/12.2007646
Defining a magnetic resonance scan sequence for permanent seed prostate brachytherapy postimplant assessment. D. Bowes, J. Crook, R. Rajapakshe, C. Araujo, B. Parker, Brachytherapy Journal, 12 (1), 25-29, 2013
Breast Cancer in British Columbia - Identification of high-risk women based on breast cancer risk modeling, T. Hoegg, S. Esterby, P. Gill, C. Araujo and R. Rajapakshe., Statistical Society of Canada Annual Meeting, May 2013
Last reviewed 01/22/2016 11:20:25 AM