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CT Reconstruction
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction
Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
X$^{2}$-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT Reconstruction
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation
Benchmarking learned algorithms for computed tomography image reconstruction tasks
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset
$ρ$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Discretized Gaussian Representation for Tomographic Reconstruction
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction
Regression Conformal Prediction under Bias
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