HyDAR-Pano3D is a two-stage disentangled framework that reconstructs patient-specific 3D CBCT volumes from 2D panoramic radiographs via canonical volume recovery followed by prior-constrained deformation.
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images,
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HyDAR-Pano3D: A Hybrid Disentangled Anatomical Recovery Framework for Panoramic-to-3D Reconstruction
HyDAR-Pano3D is a two-stage disentangled framework that reconstructs patient-specific 3D CBCT volumes from 2D panoramic radiographs via canonical volume recovery followed by prior-constrained deformation.