Computer Vision News - December 2022

35 Mohamed Suliman in cortical surface registration methods, we can place individual cortical surfaces into a common coordinate system that allows us to compare different features across subjects accurately. Most commonly, medical image registration aims to align cortical folds across subjects . The issue with this approach is that folding is not a very good measure of brain function and therefore does not allow us to probe The human cerebral cortex is the brain's outer surface responsible for the cognitive functions that distinguish us from primates. The structural and functional organization of the cortex is highly variable across individuals, which makes comparing this structure across individuals a challenging task. One example might be investigating the brain regions responsible for understanding spoken language across a large number of subjects. Nonetheless, thanks to advances Mohamed Abdalla E. Suliman is a research associate at KCL, working on developing artificial intelligence (AI) methods for analyzing medical imaging data. His focus now is on developing geometric deep-learning-based frameworks for cortical surface registration. Mohamed holds a Ph.D. from Imperial College London.