F. Goldmann

Measured and synthetic rigid head motion datasets via generative model for motion simulation and compensation in medical imaging.

This work provides an openly released resource consisting of tracked real motion and pregenerated synthetic motion, along with a pretrained variational autoencoder (VAE) to generate larger ground-truth datasets, intended to support reproducible development, benchmarking, and comparison of head motion estimation methods in medical imaging modalities.