A Unified Deep Learning Framework for Motion Correction in Medical Imaging
UniMo is a unified framework for correcting motion in medical images by combining deep neural networks to handle both rigid and local deformations. It uses an alternating optimization scheme to train two integrated models: one for global rigid motion and another for local shape corrections. This allows it to generalize well across different imaging types without needing retraining.