July 2022

Prof. Alison Noble, University of Oxford gave a distinguished lecture on The Emergence of Sonography Data Science on 11 July 2022.  

In her talk, Prof. Noble discussed how the emergence of machine learning in imaging has been changing medical ultrasound in the last decade, using examples from her group’s research on foetal ultrasound image analysis to highlight some of the technical advances and new clinical translational opportunities. While her early work focused on applying known computer vision methods to ultrasound data she argued that research is no longer just about the algorithm and explained why interdisciplinarity is key to developing translatable technologies of the future that meet unmet clinical need.

Prof. Alison Noble, a Fellow of the Royal Society (FRS) is currently the Technikos Professor in Biomedical Engineering at the University of Oxford, UK where she leads a medical image analysis group best known for learning-based ultrasound image analysis. Professor Noble received the UK Royal Society Gabor Medal for her interdisciplinary research contributions in 2019, and the same year received the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society Enduring Impact award. Prof. Noble served on the MICCAI Society board for a decade and is a former President of the MICCAI Society (2013 – 15). She is an active Fellow of the UK Royal Academy of Engineering and of the Royal Society, a Fellow of the MICCAI society and an ELLIS Fellow. Professor Noble is a current European Research Council Advanced Grant holder and has held or currently holds grants from the UKRI, NIHR, Wellcome Trust, NIH, and the Bill and Melinda Gates Foundation. She has a sustained track record of mentoring early career researchers at Oxford and on national schemes, and has supervised 73 graduated PhD students (19 women) to date.  Professor Noble received an OBE for services to science and engineering in the Queen’s Birthday Honours list in 2013.