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Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability
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 b
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