PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement
cs.CV, cs.AI
Submitted: 2026-06-18
Updated: 2026-09-09
Comments: Accepted for publication at the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention PedAItrics Workshop (MICCAIw 2026)
Code: https://github.com/DYDevelop/PSCT-Net
Project page: https://dydevelop.github.io/PSCT-Net
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image
- Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
- CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
- Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
- U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
- Denoising Diffusion Implicit Models
- MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
- DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
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