VolTA-3D: Self-Supervised Learning for Brain MRI using 3D Volumetric Token Alignment

In three linesVolTA-3D is a self-supervised 3D Vision Transformer framework for brain MRI. It aligns global and local tokens in a student-teacher paradigm and enforces fine-grained structural reconstruction. Evaluated on hippocampal segmentation and classification tasks (sex, Alzheimer's), it outperforms random baselines and demonstrates improved transferability across domain shifts.

Summary generated by Claude — human-verified