Roger Tam

Computer visionAnalysis of medical imagesMRIsMultiple sclerosisMachine Learning

I am an Associate Professor in the Department of Radiology at UBC. I am also a member of the MS/MRI Research Group in the Division of Neurology and an associate member of the Biomedical Engineering Program in the Faculty of Applied Science. I completed my Ph.D. in the Department of Computer Science at UBC in 2004, under the supervision of Drs. Alain Fournier and Wolfgang Heidrich. My research interests are centered around the application of computer vision and machine learning methods to the quantitative analysis of medical images. My current primary research direction is the use of MRIs to improve the understanding of neurological disorders such as multiple sclerosis.

In general, I am interested in projects related to any of the following topics in medical imaging:

  • In vivo imaging, particularly of the brain using magnetic resonance imaging (MRI)
  • Machine learning (big data analytics) for unsupervised feature learning and pattern discovery in medical images
  • Computer vision techniques, especially for the measurement of brain structures
  • Imaging biomarkers of neurological disorders, such as Alzheimer’s or multiple sclerosis (MS). For MS, this includes lesion volume on T1-weighted and T2-weighted scans, whole brain atrophy, white matter and cortical grey matter volume
  • Quantitative MRI methods, such as myelin water imaging
  • Imaging artifacts and their impact on quantitative analysis
  • Graphics processor accelerated computation
  • Computational shape modelling (e.g., Voronoi ball and medial axis models) and morphometrics
  • Medical informatics and distributed medical imaging systems