Vision Lab, Department of Physics
University of Antwerp (CDE)
Universiteitsplein 1 (N1.19)
B-2610 Antwerp, Belgium
Brian Booth joined the Vision Lab in early 2016 after completing his PhD in Computing Science at Simon Fraser University's Medical Image Analysis Lab (Burnaby, Canada). His doctoral thesis focused on developing statistical analysis techniques and image processing algorithms for Diffusion MRI (dMRI) scans of the brains of infants born prematurely. The central contribution to that thesis was the Statistical Template Estimation for Abnormality Mapping (STEAM) technique for computer aided diagnosis in preterm infant dMRI.
Prior to his PhD studies, Brian received a Master of Science (MSc) and Bachelor of Science (BSc) degrees in Computing Science from the University of Alberta (Edmonton, Canada). As part of his BSc studies, Brian completed a 16 month internship at Red Hat where he developed administrative tools for the Red Hat Database project as well as high-level compiler optimizations for GCC.
Since 2011, Brian has published a total of 17 international peer-reviewed publications, including 3 journal articles, 3 book chapters, 11 top-tier conference papers (from Google scholar: 62 citations, h-index: 5), and has earned an IEEE best paper award. He has also received multiple national (4) and provincial-level (4) awards for research and teaching. His research interests are focused towards medical image analysis, specifically on the use of machine learning techniques to identify patterns of abnormality in medical images.
- Statistical Modelling
- Abnormality Detection
- Regression and Classification
- Information Content Estimation
- Fiber Bundle Segmentation
- Multi-Region Competitive Tractography
- Statistical Modelling and Analysis
- Feature Detection
- Image Segmentation
Plantar Pressure Video Analysis (imec FOOTWORK project):
Diffusion MRI Analysis:
Ultrasound Image Analysis:
A full list of Brian's publications can be found here.
A full list of Brian's published software packages can be found here.