A correspondence-preserving diffusion model generates ordered point clouds of hippocampi, keeping point-to-point anatomical correspondence across generated shapes.
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in The Data Manifold
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Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
A correspondence-preserving diffusion model generates ordered point clouds of hippocampi, keeping point-to-point anatomical correspondence across generated shapes.