This is a recurring event: View all events in the series “Data Bites”
Speaker: Professor Greg Slabaugh, Director of the Digital Environment Research Institute (DERI) and Professor of Computer Vision and AI
Abstract
Graphs are a natural data structure for many problems that can be expressed using a set of objects (vertices) and their relationships (edges).
Modern graph neural networks provide deep learning capabilities to form predictive models on graph-based domains.
In this talk, Greg will present some recent work in applying graph neural networks to different problems primarily in medical imaging, including medical image segmentation and histopathology image analysis.
About the speaker
Greg Slabaugh is Professor of Computer Vision and AI at Queen Mary University of London and Director of Queen Mary’s Digital Environment Research Institute which focusses on multi-disciplinary research in digital and data science.
He has a broad background in computer vision and medical image computing.
He earned a PhD (highest honours) in Electrical Engineering from Georgia Institute of Technology in Atlanta, USA.
Previous appointments include positions in academia and industry, including City, University of London, Huawei, Medicsight, and Siemens.
He holds 38 granted patents and has over 200 scientific publications.
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