ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism
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Cardiac motion tracking is essential for evaluating cardiac function and diagnosing cardiovascular diseases. However, existing tracking methods primarily depend on scaling-and-squaring (SS) integration to derive discrete Lagrangian motion fields. This dependen... ...
