Rupert Brooks
Rupert is a Senior Research Scientist in Nuance Global Research and Development focused on problems relating to diagnostic imaging that affect the longer term development of Nuance’s AI marketplace. His current research interests include deep learning models for medical imaging, federated learning and privacy preserving approaches to machine learning. He has previously done research in real time surgical simulation and image guidance for radiotherapy. Rupert obtained a Ph.D. in Electrical and Computer Engineering from McGill University, currently holds an affiliate assistant professor position at Concordia University and is a member of the Order of Engineers of Quebec.
Rupert Brooks’s stories
DeepAAA: Detecting Abdominal Aortic Aneurysms with Deep Learning

Deep learning based approaches have recently made great strides in automating some types of medical image analysis. Despite some hype about deep learning algorithms replacing radiologists, it is most likely that deep learning algorithms will become sophisticated tools for radiologists, assisting and complementing their expertise. AI based approaches may assist by improving workflow efficiency, providing […]