A semi-supervised VAE combined with static and residual motion LDMs generates anatomically consistent 4D cardiac MRI, achieving Pearson r > 0.8 controllability and 1.4% Dice improvement in downstream segmentation when used for data augmentation.
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2026 2verdicts
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2D diffusion-generated synthetic X-rays enable training of anatomical landmark detectors that generalize to real images with performance rivaling real-data training.
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Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis
A semi-supervised VAE combined with static and residual motion LDMs generates anatomically consistent 4D cardiac MRI, achieving Pearson r > 0.8 controllability and 1.4% Dice improvement in downstream segmentation when used for data augmentation.