2 papers
eess.IV2025
Reliable Evaluation of MRI Motion Correction: Dataset and Insights
Kun Wang, Tobit Klug, Stefan Ruschke +2
Correcting motion artifacts in MRI is important, as they can hinder accurate diagnosis. However, evaluating deep learning-based and classical motion correction methods remains fund…
eess.IV2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
Tobit Klug, Kun Wang, Stefan Ruschke +1
A major challenge of the long measurement times in magnetic resonance imaging (MRI), an important medical imaging technology, is that patients may move during data acquisition. Thi…