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About Us
The Noble Group is led by Professor Alison Noble CBE FRS FREng. Our research interest is in biomedical image analysis, spanning new AI-based methodology development in human-AI collaboration, federated analysis and AI-assistive ultrasound, to applications in clinical domains such as fetal medicine, global health imaging, and optimisation of radiology workflows.
A particular focus for the Noble Group has been understanding the interplay of ultrasound device design (physics), clinical acquisition, and downstream image analysis and computer vision. Much of our recent work has concerned machine learning applied to ultrasound. We are interested in answering questions such as why is ultrasound scanning and interpretation hard to learn? How can we get computers to mimic what a skilled sonographer can do? What is the role of multi-modal analysis (such as eye-tracking and ultrasound video) in ultrasound imaging? And can ultrasound be simplified (assisted by AI-assistive technologies) so that minimally trained clinical professionals can use it in non-traditional healthcare settings. Our research is motivated by unmet important clinical needs in developed world and developing world settings and involves inter-disciplinary translational research collaborations with clinical groups from the UK and overseas.