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Noble Group

Welcome to the Noble Group website

The Noble Group is led by Professor Alison Noble OBE FRS FREng. Our research interest is in biomedical image analysis, spanning cardiac magnetic resonance image analysis, to fetal ultrasound image analysis, to cell image analysis.

A particular focus for the 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 in 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.

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RT @oxengsci: A team led by Professors Alison Noble & Aris Papageorghiou were commended in The Engineer - Collaborate to Innovate (C2I) Awa…

RT @TheEngineerUK: Next up for the #C2I2020 Awards is the Healthcare & Medical category ⚕️ Coming in highly commended is: TraCer: @UniofOx

RT @miua2021: Medical Image Understanding and Analysis have come a long way in the past 25 years... #MIUA started @UniofOxford in 1997 as…

From our group, Ping Lu @PingLu02530767 presented "Going deeper into cardiac motion to model fine spatio-temporal features for better diagnosis" at the 8th Oxbridge Women in Computer Science Conference online