AINeutralarXiv – CS AI · Jun 26/10
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Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts
Researchers propose a unified deep learning framework for correcting motion artifacts across different MRI contrast types by combining contrast disentanglement with severity-aware adaptive correction. The method achieves measurable improvements over existing approaches and demonstrates robust generalization to unseen clinical data, addressing a key limitation where current solutions fail across diverse imaging modalities.