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. Author manuscript; available in PMC: 2024 Oct 16.
Published in final edited form as: Proc Mach Learn Res. 2024;227:368–381.

Fig. 4:

Fig. 4:

Realistic test example. For this example, we do not have access to the true motion parameters, and our method (HN) outperforms the baselines which do not require this information. HN removes the artifact in ARC and is sharper than Conv (see arrows). Despite being trained on simulated data, our method generalizes to this test example based on acquired k-space data and produces a high-quality reconstruction.