Computer Vision News - November 2020

3 Katharina Breininger 17 Best of MICCAI 2020 work,” Katharina declares. “What kind of information can we extract from 2D images directly? Wires, catheters, contrast information. We can integrate that with the preoperative information, the model that we have, and potentially additional information from intraoperative ultrasound , for example, could be integrated in the deformation modeling itself. It also interests me that this is a project where different disciplines come together. There is a lot of important work going on in analysis of CT, MRI, and other modalities , but it is often done separately from clinical applications. It is so important to collaborate with partners and discuss whether your ideas are feasible and implementable in a clinical setting.” Finally, we turn to the Young Scientist award Katharina won recently at MICCAI 2020. How did she feel to be given such a prestigious title? “It means a lot!” she beams. “For me, it means that MICCAI honors approaches that go from an idea to something that could be integrated into a working clinical solution. It is confirmation that the things I have been working on for quite some time now are going in the right direction and of interest to people on a wider scale.” a collaborator, including co-authors Marcus Pfister and Markus Kowarschik, who, along with her advisor, Andreas Maier , Katharina declares it was great to work with. These relationships gave her the opportunity to experiment with the algorithms on real clinical prototypes – following all the appropriate guidelines, of course. What computer visions techniques were involved? Having just defended her thesis, Katharina is coming to the end of her PhD and a year that has been full of so many achievements. We assume she will now be taking some time out to consider her options. “Well, actually I have some news,” she reveals. “I am going to be a junior professor at FAU starting this month!” Best of luck Katharina for a successful future ahead! "MICCAI honors approaches that go from an idea to something that could be integrated into a working clinical solution"