Andrew Cameron

M.A.Sc. Candidate


Short biography

Andrew CameronAfter being introduced to pattern recognition by Professor Paul Fieguth during my undergraduate degree, I sought to learn more about pattern classification and machine learning by applying them to a variety of academic and work term projects including touch input recognition and EMG-based gesture recognition. Having completed my bachelor's degree in Systems Design Engineering from the University of Waterloo, I am now pursuing a master's degree under the supervision of Professor Alex Wong.

When I'm not writing papers or analyzing medical images, I enjoy digital and film photography.


Alexander Wong

Research interests

I'm interested in automating and supporting complex reasoning tasks, including through applications of pattern classification, statistical modelling, image processing and computer vision, but also through data visualization, dimensionality reduction, and related techniques.

Research topics

Biomedical Imaging

Computer Vision

Image Segmentation/Classification

Stochastic Models

Research demos

Correlated Diffusion Imaging

Enhanced Low-dose Computed Tomography


Journal articles

Haider, S.A. CameronP. SivaD. LuiM. J. ShafieeA. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, Submitted. Details

Shafiee, M. J.S. HaiderA. WongD. LuiA. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High b-value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", TRANSACTIONS ON MEDICAL IMAGING, vol. 34, no. 5: IEEE, 2015. Details

Lui, D.A. Cameron, A. Modhafar, D. Cho, and A. Wong, "Low-dose computed tomography via Spatially-adaptive Monte Carlo reconstruction", Computerized Medical Imaging and Graphics, vol. 37, issue 7-8, pp. 438 - 449, October, 2013. Details

Cameron, A.D. LuiA. BoroomandJ. GlaisterA. Wong, and K. Bizheva, "Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling", Biomedical Optics Express, vol. 4, no. 9, August, 2013. Details

Wong, A.J. GlaisterA. Cameron, and M. A. Haider, "Correlated Diffusion Imaging", BMC Medical Imaging, 2013.Details

Conference papers

Deglint, J.A. CameronC. Scharfenberger, M. Lamm, A. Wong, and D. A. Clausi, "Auto-Calibration for Screen Correction and Point Cloud Generationpdf", Society for Information Display's Week, June, 2015, Distinguished Paper AwardDetails

Cameron, A., A. Modhafar, F. Khalvati, D. LuiM. J. ShafieeA. Wong, and M. Haider, "Multiparametric MRI Prostate Cancer Analysis via a Hybrid Morphological-Textural Model", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details

Khalvati, F., A. Modhafar, A. CameronA. Wong, and M. Haider, "A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis", MICCAI 2014 Workshop on Computational Diffusion MRI, 2014. Details
Cameron, A.J. GlaisterA. Wong, and M. Haider, "Non-parametric Bayesian Estimation of Apparent Diffusion Coefficient from Diffusion-Weighted Magnetic Resonance Imaging Data", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, pp. 412-415, 2012. Details

Glaister, J.A. CameronA. Wong, and M. Haider, "Quantitative Investigative Analysis of Tumour Separability in the Prostate Gland using Ultra-high b-value Computed Diffusion Imaging", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, pp. 420-423, 2012. Details

University of Waterloo

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