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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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Literature Corpus work
081cffca-820d-5170-afd0-724b798f26c1
DOI
10.64898/2026.04.10.26350553
Open publication

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Normal is All You Need: A Symmetry-Informed Inverse Learning Foundation Model for Neuroimaging DiagnosticsDOI 10.64898/2026.04.10.26350553
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