VolTA-3D learns transferable 3D representations from unlabeled brain MRI by jointly aligning global and local tokens in a self-supervised student-teacher framework.
Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
VolTA-3D: Self-Supervised Learning for Brain MRI using 3D Volumetric Token Alignment
VolTA-3D learns transferable 3D representations from unlabeled brain MRI by jointly aligning global and local tokens in a self-supervised student-teacher framework.