Keynote Speaker: Alison NOBLE
Moderator: Raymond CHAN, VP(SA), City University of Hong Kong, Co-Director of COCHE
FRS, FREng University of Oxford Co-Director of Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE)
Simplifying ultrasound – progress and the opportunities in fetal echocardiography
Deep learning has become a mainstream tool in medical image analysis over the last decade. This talk provides a brief overview of how it is impacting ultrasound image analysis, both in terms of traditional analysis task automation and suggesting new ways to simplify ultrasound for end users. Simplifying ultrasound is key to broader application of ultrasound in new clinical settings and to address important unmet clinical needs. Fetal echocardiography provides one such example, and we conclude by highlighting some of the unique challenges, and hence research opportunities, posed in this under-researched area.
Alison Noble was an undergraduate and a postgraduate research student at St Hugh’s College, Oxford studying Engineering Science and Computer Vision respectively. She became a research scientist at the GE Corporate R&D Center, Schenectady NY USA following DPhil (PhD) graduation before appointment to the Oxford Engineering Science faculty in 1995. Alison Noble was elected a Professor of Engineering Science in 2002, and the Technikos Professor in Biomedical Engineering in 2011. Professor Alison Noble was the Director of the Institute of Biomedical Engineering from 2012-16 and an Associate Head of the Mathematical, Physical and Life Sciences Division at the University of Oxford, 2016-19. Alison’s research interests are in ultrasound imaging, computational (machine-learning based) analysis of images, and the development of decision-support tools for medical professionals. Her research is motivated by clinical unmet needs in western and developing world healthcare settings. She co-founded Intelligent Ultrasound Ltd to commercial research from her laboratory which was acquired by MedaPhor Group Plc (now called Intelligent Ultrasound Group) in 2017. Alison is a former president of the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society. She has served as a member and then Chair of the EPSRC Healthcare Technologies Strategic Advisory Team (2014-19) and a Trustee of the Institute of Engineering Technology (IET) 2016-19. She is a member of REF 2021 Subpanel 12 (Engineering). Professor Alison Noble is a Fellow of the Royal Academy and of the Royal Society, and a Trustee of the Oxford Trust. She received an OBE for services to science and engineering in the Queen's Birthday Honours list in June 2013.