2026
Reliable Evaluation of MRI Motion Correction: Dataset and Insights
ICLR 2026poster
Correcting motion artifacts in scientific and medical imaging is important, as they significantly impact image quality. However, evaluating deep learning-based and classical motion correction methods remains fundamentally difficult due to the lack of accessible ground-truth target data. To address…