The author proposes uniGradICON as a foundation model for medical image registration, combining the speed and accuracy benefits of learning-based approaches with the generic applicability of conventional methods.
uniGradICON proposes a foundation model for medical image registration that combines the speed and accuracy benefits of learning-based algorithms with the generic applicability of conventional approaches.