AI RESEARCH
A Target-Free Harmonization Method for MRI
arXiv CS.AI
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ArXi:2605.01282v1 Announce Type: cross In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade the performance of deep learning models trained on data from specific target domains. MRI image harmonization aims to address these issues by aligning source domain images to the target domain images while preserving biological information such as anatomical structures.