Computer Vision News - May 2023

35 Marcel and Miguel research stay here in Germany, ” Marcel reveals. “ He helped from a technical perspective because he had already worked with contrastive learning , which was very important for our embedding, and knew about style awareness . We were a match on the technical and personal side, and it was great attending the conference and presenting together too. ” Miguel agrees and has a tip for other researchers: “ Be as collaborative as possible! Marcel and I are friends and get along very well. He knows a lot more about the biomedical image domain than me, and he was the one that formulated the problem in the first place. He told me about it, and we found a solution together. We’re now developing the next stage of the project! ” choose their paper as the top contender among all submissions? “ That’s a tough question to answer, ” Marcel responds. “ I’m struggling because so much great work was presented at ISBI this year. ” Miguel, who has been thinking carefully, reflects: “ I believe the main advantage of our work is that it is transversal. You could use our method with every imaging modality at ISBI. We’re trying to solve a real problem that people in the medical and biomedical field face daily. ” As joint first authors of the work, they count their different perspectives, ongoing discussions, and spirit of collaboration and cooperation as key to their success. “ Miguel and I discussed a lot during his S T PER B I 2 3 IEEE ISBI