Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Brain-ID introduces a contrast-agnostic anatomical representation learning model for brain imaging, achieving state-of-the-art performance in various downstream tasks through robust and expressive subject-specific features.