内部、感兴趣区与截断重建
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内部、感兴趣区与截断重建
主题
论文
- An Iterative Reconstruction Method for Dental Cone-Beam Computed Tomography with a Truncated Field of View
- Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view
- Deep-Interior
- DPER
- End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
- Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
- One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection
- Texture-preserving implicit neural representation for cone-beam CT truncated reconstruction
- Tiny a priori knowledge solves the interior problem in computed tomography
- TPAw-LAwTV
- Truncation artifact reduction in cone-beam computed tomography scans using conditional generative diffusion models
- VOI-Net