AI RESEARCH
Interpretable Motion Artificat Detection in structural Brain MRI
arXiv CS.CV
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ArXi:2603.05726v1 Announce Type: cross Automated quality assessment of structural brain MRI is an important prerequisite for reliable neuroimaging analysis, but yet remains challenging due to motion artifacts and poor generalization across acquisition sites. Existing approaches based on image quality metrics (IQMs) or deep learning either requires extensive preprocessing, which incurs high computational cost, or poor generalization to unseen data.