Eleftheria Panagiotaki (but everybody calls her Laura) is an Associate Professor at UCL Hawkes Institute and in the Department of Computer Science. What is your work about, Laura? My group, which is called CAMI for Computational Cancer Microstructure Imaging, is working on developing computational methods, usually for non-invasive diagnostic imaging. Now we're trying, with the new development of AI neural networks and so on, to add prognostication and some extra elements to help for a speedy diagnosis with the best possible prognostic outcomes for the patients. How did you get there? I studied mathematics in Greece at the University of Crete, and then I wanted to do something more applied. I had a very large choice, and I chose the MSc course for vision imaging and virtual environments, which was my introduction to computer vision and computer science at UCL. And after I finished this, I thought I was going to go into computer graphics because they were very cool and shiny and a virtual environment. But then I met Professor Daniel Alexander, who introduced me to the magic of medical imaging, and I never looked back. Do you attend MICCAI sometimes? Yes, we just submitted yesterday, 3am. My PhD students worked really hard! It will be a best paper! How many are you? I have two PhD students, one research associate, one senior postdoc, and one postdoc. We're a mix, female and male. A very good mix. Is this on purpose? No, no, we started like an all-female group, very small. But then we had some wonderful guys joining us. Very smart. You started studying in Crete. Are you from Crete? Yes, I am. I'm from Rethymno. How is it to grow up in Crete? I only visited for 3-4 days, like everybody. Well, finally, I didn't grow up in Crete because my dad was in the army. We were going there just for holidays, like everybody else, but all of my extended family is there. Read 160 FASCINATING interviews with Women in Computer Vision Women in Computer Vision 16 DAILY WACV Sunday Toward a Virtual Biopsy: Using MRI to Diagnose Cancer Without Pain
RkJQdWJsaXNoZXIy NTc3NzU=