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Jan Kirschke

1 accepted papers

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…

Cited by 0SourceScholar