Topic
geometry-aware
Artificial Intelligence #pediatric#skull
New AI Framework PSCT-Net Reduces Radiation Risk in Pediatric Skull CT Imaging
PSCT-Net is a novel deep learning framework for reconstructing 3D CT scans of pediatric skulls from only two X-ray images, significantly reducing radiation exposure. The method uses differentiable back-projection and attention-guided refinement to overcome depth ambiguity. It was evaluated on a private dataset called PedSkull-CT.
Jun 20, 2026 1 source
Artificial Intelligence #machine learning#physics-informed
Geometry-Aware Neural Operator Cuts Simulation Time for Plate Structures from Hours to Milliseconds
Researchers propose MR-GVNO, a geometry-aware variational neural operator for Mindlin-Reissner plate problems. The model uses boundary point clouds and cross-attention to predict responses on irregular domains, achieving millisecond-level inference without labeled training data.
Jun 16, 2026 1 source