Computer Vision News - July 2020

Event 68 “What I find really exciting now is that people like Stefan and Aasa and others are putting shape models and geometric models in that deep learning setting,” she tells us. “We’re doing the same. We’re working on segmentation, registration and shape modelling with deep learning across a whole range of applications – cancer, foetal imaging, cardiac imaging, and a bit of neuro as well.” Having looked back over their own extensive careers to date, all three say they are particularly eager for researchers who are early in their careers to attend the conference next year. Julia remembers her first IPMI in 1995, which left a lasting impression: “It was fantastic because you get to meet everybody there. You get to talk to everyone, and people will remember you afterwards. It’s great to build your own network as a student and to get to see the leaders of international research labs in such an informal setting. It really is quite unique!” The team recognize that organizations may be facing financial problems next year due to the effects of the global pandemic, and they want to make it affordable for people to attend from all over the world. The cost of the conference includes accommodation and food, keeping any extra spending money required to a minimum, but they are also hoping to be able to provide travel grants for some attendees if funding allows. With so many physical events turning into virtual meetings this year, they also want to reassure people that they are already thinking carefully about how they might organize a wholly or partially online conference if necessary, whilst maintaining as much interaction as possible. “Interaction is really at the heart of IPMI,” Aasa says. “We are continuously looking at others to see what works and keeping at the back of our minds how we might manage the situation if we have to.” “… putting shape models and geometric models in that deep learning setting” Julia Schnabel