Learning Cardiac Motion Priors for Implicit Neural Representations

arXiv:2607.00955v2 Announce Type: replace-cross Abstract: Implicit neural representations (INRs) are well suited to cardiac motion estimation, providing continuous, compact representations of motion fields. However, fitting an INR to each image sequence is time-consuming and sensitive to the optimisation trajectory. Learned priors can help guide optimisation…

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Source: cs.AI updates on arXiv.org

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