Article
Normal is All You Need: A Symmetry-Informed Inverse Learning Foundation Model for Neuroimaging Diagnostics
2026-04-12
Abstract excerpt
<h4>Background</h4> Developing generalizable neuroimaging models is often hindered by limited labeled data which has led to an increased interest in unsupervised inverse learning. Existing approaches often neglect geometric principles and struggle with diverse pathologies. We propose a symmetry-informed inverse learning foundation model to address these shortcomings for robust and efficient anomaly detection in b...
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Identifiers and source
- Literature Corpus work
- 081cffca-820d-5170-afd0-724b798f26c1
- DOI
- 10.64898/2026.04.10.26350553
