Synthesis-Driven Deep Learning and Multi-Scale Analysis of the Human Brain

Watch a comprehensive neuroscience lecture where Bruce Fischl, Professor of Radiology at Harvard Medical School and Director of the Computational Core at MGH AA Martinos Center, explores groundbreaking applications of deep learning in neuroimaging. Discover innovative solutions to the domain gap challenge in MRI analysis through synthetic image synthesis techniques that enable unbiased network learning from real MRI data. Learn about the results of a five-year research project focused on developing tools for multi-scale brain analysis, spanning from microscopic cellular levels to whole-brain MRI imaging, with the ultimate goal of creating a detailed cellular and connectional atlas of the human brain. Gain insights into cutting-edge neuroscience research that bridges technical innovation with practical applications in brain mapping and analysis.