51 Computer Vision News year, one of the activities we’re trying to bring in is to get our papers indexed by PubMed so that the citation aspects of it will increase enough to make it more attractive for our audience to submit papers to MICCAI. The fact that we have a 30% increase in submissions this year is already a good sign this is still a growing community. Will federated learning be another popular topic this year? Tanveer: Federated learning was a very hot topic a few years ago. This year, it will probably be generative AI. That is where everybody is going to be focused. Now, federated learning, in theory, is very relevant for healthcare settings because of the lack of data and contribution. However, the practical matter has been that people in hospitals and people who hold datasets, unless they’re contributing to open source, many of them like to keep hold of those datasets as being their differentiator for publications and so on. The mechanics of deploying AI at workstations within hospitals and getting the data mined enough to do federated learning has proven challenging. There are a few hospitals able to pull this off, but whether it’llbe a big topic – we do have a workshop this year, but I think you’ll see more buzz around transformers and generative AI. Russ: I think Tanveer is correct in terms of where you’re going to see publications. In my view, we need things like federated learning to get critical mass in some of the datasets. I’m hoping the workshop will be successful. Also, perhaps we can at least get more alliances together in informal communication. It’s one of the weaknesses. People get dollar signs, euros, or renminbi in their heads, and no one gets anywhere. Do you have a final message for the community? Tanveer: MICCAI is still the top conference in medical imaging. We hope to attract as many, if not more, attendees this year. If you want to catch all the latest developments in medical AI, and imaging-related AI, this is the forum to be at! Interview with General Chairs
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