The reconstruction of cortical surfaces from brain magnetic resonance imaging
(MRI) scans is essential for quantitative analyses of cortical thickness and
sulcal morphology. Although traditional and deep learning-based algorithmic
pipelines exist for …
Deep neural networks enable highly accurate image segmentation, but require
large amounts of manually annotated data for supervised training. Few-shot
learning aims to address this shortcoming by learning a new class from a few
annotated support …