Article

Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability

2026-07-30

Abstract excerpt

<title>Abstract</title> <p>Biomedical imaging data exhibit substantial acquisition variability, where identical biological structures can appear markedly different due to differences in imaging devices, acquisition protocols, sites, and reconstruction settings. Consequently, learned representations often entangle underlying biological information with acquisition-dependent appearance, limiting interpretability, g...

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Literature Corpus work: d42eff16-5183-57b4-8620-b8ef0a2e2756
DOI: 10.21203/rs.3.rs-10380756/v1

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