The field of medical image analysis has entered an exciting era where availability of large-scale imaging datasets (Big Data), new ideas in machine learning algorithms, and enhanced computing power, are providing opportunities to look more closely at the role of automated image analysis in population-based data analytics, and to solve very challenging medical image analysis problems previously considered too hard.
However, every advance brings fresh challenges. In this case medical image analysis of Big Data requires close collaboration and interaction between inter-disciplinary researchers; can require an appreciation of how to model problems where clinical judgement, as opposed to precise rules, acts as the “ground truth”; and there can be ethically issues of accessing, using, and sharing clinical data for algorithm development, validation in the clinic, and algorithm bench-marking.
This event is organised by the UK Medical Image Analysis Network (MedIAN) funded by the EPSRC. To book your place visit Eventbrite using the password MedIANBD
This half-day workshop aims to provide a platform for discussion and debate of some of these issues. Experts will share their experiences and perspectives of working in this space, and a discussion will be held of how the UK Medical Image Analysis community might collectively work together to define solutions to the perceived and actual barriers of working in this research area.
12:30 – Registration & Lunch
13:15 – Welcome
13:25 – Prof. Bjoern Menze, Technische Universitat Munchen
13:50 – Dr Pearse A Keane MD MSc FRCOphth MRCSI, NIHR Clinician Scientist and Honorary Consultant Ophthalmologist
14:15 –Dr Tom Littlejohns, Epidemiologist, University of Oxford
14:40 – Carole Morris, Information Consultant, eDRIS Team, Farr Institute Scotland
15:20 – Round table discussions
17:00 – Drinks reception & Networking
17:45 – Close