Researcher

Brian Booth

Research Expertise (University of Antwerp):I have broad experience in medical image analysis, with a specific focus on computer-aided diagnosis. My ambition is to facilitate the translation of medical image analysis research into clinical practice. During my PhD training in Canada I developed the Statistical Template Estimation for Abnormality Mapping (STEAM) technique for computer aided diagnosis (http://www.cs.sfu.ca/~hamarneh/software/steam/). Since joining the imec-Vision Lab, I have worked on extending the STEAM concepts using metric learning techniques through the Horizon 2020 CAD WALK project (http://cadwalk.eu). My research interests are currently focused on the use of machine learning techniques to identify patterns of abnormality in medical images. In the past three years, I have participated in 5 industry-linked projects, and led work packages in 4 of those 5 projects: - CAD WALK: An Horizon 2020 Marie Curie Individual Fellowship, in collaboration with rs scan, on computer-aided diagnosis using plantar pressures - FootWork: An ICON collaboration with rs scan and rs print on automated foot orthosis design - DIASTOLE: An ICON collaboration with Materialize, GE, and FEops on 4D statistical shape modelling of the heart - PLATO: A VLAIO collaboration with Vigo and Orfit on the automated design of wrist braces - iXCon: An ICON collaboration with Robovision on the automation of tulip bulb planting

Keywords (Ghent University):shape modelling, medical image analysis, statistical parametric mapping
Keywords (University of Antwerp):MACHINE LEARNING, IMAGE ANALYSIS, MEDICAL IMAGE PROCESSING, Computer science (incl. applied informatics)

Disciplines (Interuniversity Microelectronics Centre):Display technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
Disciplines (Ghent University):Machine learning and decision making, Computer vision, Image processing
Disciplines (University of Antwerp):Data visualisation and imaging

Research techniques (University of Antwerp):* Neural Networks * Convolutional Neural Networks * Statistical Parametric Mapping * Image Registration * Mesh Registration * Image Segmentation * Probabilistic Tractography * Principal Component Analysis

Users of research expertise (University of Antwerp):Neuroimaging Researchers, Neurologists, Orthopedic Surgeons, Orthosis Designers, Kineseologists, Biomechanics Researchers