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.

About Us

Projects that we lead

Projects that we partner on

     

RT @Oxford_VGG: New #ECCV2020 Spotlight paper UNISAL - Unified Image and Video Saliency Modeling, by @richard_droste Jianbo Jiao and @Aliso

We're recruiting for a Postdoctoral Research Assistant in Multi Modal Deep Learning for Biomedical Image Analysis. Find out more: https://t.co/YJ459fYT65 Closing date September 17th

Pleased to announce that our PULSE project researchers have three abstracts accepted @ISUOG 2020 Virtual World Congress in October. See https://t.co/EOzeWRaMnm for details.

RT @richard_droste: Excited to share that our paper "Unified Image and Video Saliency Modeling" was accepted as a spotlight at @eccvconf #E