SOTAVerified

CT Reconstruction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 235 papers

TitleStatusHype
Latent Space Consistency for Sparse-View CT Reconstruction—0
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction—0
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?—0
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion—0
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport—0
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed TomographyCode1
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction—0
Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction—0
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction—0
Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction—0
X^2-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic ReconstructionCode4
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays—0
X-Field: A Physically Grounded Representation for 3D X-ray ReconstructionCode1
X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One SecondCode0
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation—0
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT ReconstructionCode0
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT ReconstructionCode1
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors—0
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical GuaranteesCode0
A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction—0
Bigger Isn't Always Better: Towards a General Prior for Medical Image ReconstructionCode0
Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT ReconstructionCode0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset—0
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography—0
Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions—0
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows—0
Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT—0
Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction—0
Regression Conformal Prediction under BiasCode0
Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction—0
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction—0
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential EquationsCode0
Single-Layer Learnable Activation for Implicit Neural Representation (SL^2A-INR)—0
DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)Code0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates—0
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction—0
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm—0
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays—0
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Show:102550
← PrevPage 1 of 5Next →

No leaderboard results yet.