Computer Vision News - May 2022

38 Exclusive Interview That’s a great question! There are so many problems I wish we could solve. We’ve already been building solutions for the issue of distinguishing between benign radiation effects and tumor recurrence so that patients can avoid unnecessary aggressive treatment. Another problem is picking the right treatment for the patient. Experimental treatments such as Immunotherapy often don’t work for most brain tumor patients but do for some and have been shown to improve their quality of life and extended their survival. The routine MR imaging. A paper just came out from our group in IEEE Transactions on Medical Imaging, where we’ve been exploring the impact that the tumor has on the entire brain. Not just thinking about heterogeneity or growth but bringing all these pieces together into a machine learning model and using that model to deduce patient outcomes and their response to specific treatments. What are the most significant problems brain cancer still has for you and researchers like you?