MICCAI 2019 Wednesday

MICCAI 2019 DAILY 5 Alison Noble report on page 16). From your point of view, do you think MICCAI needs any other special interest groups? I think one area that we need to perhaps thinkofmoreasacommunity about is in the interdisciplinary areas. You still see at MICCAI a lot about the algorithms. So that's a lot about CNN architectures. It would be great if we could see the relationships between clinical collaborators become stronger and go beyond computer science. Maybe some of the special interest groups could think about that aspect. The award you received here at MICCAI 2019 was not the first. Where do you find the motivation to keep doing more for students and for research? As an academic, you're there to train people and help people develop. I've always enjoyed training PhD students and had an interest in developing people. From my own research point of view, after graduating with my PhD, I worked for GE. The work we did was very needs-driven. You found problems that were of interest to the company but also of interest to you. You get a lot of reward from that. Ive applied the same principle to how I approach working in our field. I identify clinical needs first. That's why I've got projects now in global health. Some of the problems Ive worked on have been more unusual in the field. If you start with a need, it really drives you to want to find an impact, as an academic. Your students, as well, want to work with you on those sorts of problems. To start with the needs and then develop solutions is very much my approach. Do you still have a dream of discovering something special? If so, what would it be? Our work in ultrasound is all about trying to make ultrasound accessible so that anybody can use it anywhere. By that, I mean any clinical professional. I think there are lots of challenges in being able to do that. Also, working in pregnancy care, developing algorithms is relatively easy. Getting solutions so that they will be used in clinical practice so people will be excited about potentially using them in clinical practice is very different. It's very hard. Why do you think there are obstacles to that? People have to trust technology. People have to want the technology. It has to fit in with their work today. They are not as excited as academics are in using technology. They just want to treat people. They might just want to have a 9 to 5 job. You have to reduce, from initial excitement to publishing a paper,