Interior, ROI & Truncation
The papers in this topic, the datasets they use, the teams that focus on it, the toolkits assigned to it, and the authors with several papers here. Select any node to see its connections.
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Interior, ROI & Truncation
Topic
Paper
- 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