Computer Vision News - May 2022

39 Pallavi Tiwari people within the community who would be great resources for them to use. Have you seen our Women in Science series? Yes, it’s great you put women on the front page and give them that visibility. That’s also what we’ve tried to do with Women in MICCAI. Do you have any final thoughts? I want to give a shout-out to all my students, postdocs, and research associates because they are the driving force behind all of our work. Also, my clinical collaborators and everyone I work with. I’m glad brain tumor is a relatively rare disease given it's challenges, but this means we don’t have as many patients per institution to work with. Machine learning models need big data. We’ve been fortunate to work with collaborators worldwide who send us scans to evaluate, and we continue to grow this collaboration. They deserve a big shout- out as well for all their help! challenge is to determine which patients will be suitable for immunotherapy or other combination therapies. Will we see you at MICCAI in Singapore this year? Most likely! As one of its early members, can you tell us more about your work with Women in MICCAI? I care deeply about increasing the visibility of women in MICCAI and medical image analysis. If any women are reading this and are interested in reaching out, I’d be happy to help them or connect them to the right “The aim is to identify patients who might be more suitable for a specific treatment instead of giving them the same aggressive dose of chemoradiation that may be unnecessary.”