Computer Vision News - May 2022

57 BVM Workshop 2022 People have also been busy submitting applications for a special BVM Award for the best thesis in the field of medical image processing. This is separate from the event itself, but the award and a cash prize will be given out during the proceedings. The main workshop runs on Monday and Tuesday, and on the Monday night, there is an exciting community event planned: a catered cruise along the Neckar River. “ We very much hope we are allowed to do it, ” Peter tells us. “ You’re on a boat. No one can escape. You have to mingle! ” Jasmin laughs. But with such good German food and drink on offer, we do not think people will need much persuading. “ Good food, but heavy food! ” Peter adds, attending BVM for a decade now and co-organized the workshop in 2013, has witnessed this change first-hand. “ Organization of the event rotates every year, and we have new university partners and new professors now who have advertised it a lot more amongst their students, ” he points out. “ In the beginning, BVM was more like a get-together and the scientific contentwas nice tohave, but people didn’t usually publish their most important results or findings here. Now, the spirit is changing, and I see particularly in the deep learning area that it’s completely valid to publish your new results at BVM. That’s reflected in this year’s program. ” Jasmin adds that switching to different submission formats has been another important change: “ We have plenty of fresh work from young and older scientists, but we also have one- pager abstracts of papers which have already been accepted or published at other conferences or in journals. ” There will be three keynotes with topics from local and international speakers, including Mihaela van der Schaar from the University of Cambridge , Stefanie Speidel from NCT Dresden , and Ullrich Köthe from the Visual Learning Lab at the University of Heidelberg . Awards and prizes will be given out at the event for thebest talks andposters, as voted for by attendees, as well as a selection of star submissions, chosen and ranked by the BVM Committee, including Klaus Maier- Hein , Christoph Palm , and Andreas Maier . Isensee, F., Jaeger, P.F., Kohl, S.A.A. et al. nnU-Net: a self- configuring method for deep learning-based biomedical image segmentation. Nat Methods 18, 203–211 (2021). https://doi.org/10.1038/s41592-020-01008-z