Cover Image

Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Jiaqi, López-Tapia, Santiago
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
by: Guo, Jiaqi, et al.
Published: (2024)

Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions
by: Gilo, Daniel, et al.
Published: (2024)

Visible Singularities Guided Correlation Network for Limited-Angle CT Reconstruction
by: Wen, Yiyang, et al.
Published: (2026)

PWD: Prior-Guided and Wavelet-Enhanced Diffusion Model for Limited-Angle CT
by: Liu, Yi, et al.
Published: (2025)

TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
by: Bubba, Tatiana A., et al.
Published: (2025)

Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction
by: Chen, Hanyu, et al.
Published: (2024)

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
by: Cui, Jiaqi, et al.
Published: (2024)

Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction
by: Braure, Thomas, et al.
Published: (2023)

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
by: Barba, Luis, et al.
Published: (2026)

PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
by: Fang, Changsheng, et al.
Published: (2025)

Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
by: An, Ran, et al.
Published: (2024)

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
by: Liu, Xuhui, et al.
Published: (2024)

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction
by: Gao, Qi, et al.
Published: (2025)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
by: Yu, Yongrui, et al.
Published: (2024)

DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
by: Xie, Xing, et al.
Published: (2025)

Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning
by: Qiao, Zhi, et al.
Published: (2024)

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
by: Zhang, Junyan, et al.
Published: (2024)

DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
by: Sun, Yiran, et al.
Published: (2024)

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
by: Zhang, Wenhao, et al.
Published: (2024)

DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)
by: Jeong, Yun Su, et al.
Published: (2024)

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction
by: Sun, Yiran, et al.
Published: (2024)

Task-Adaptive Low-Dose CT Reconstruction
by: Sefercioglu, Necati, et al.
Published: (2025)

Real-World Atmospheric Turbulence Correction via Domain Adaptation
by: Wang, Xijun, et al.
Published: (2024)

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View CT Reconstruction
by: Yuluo, Yikuang, et al.
Published: (2025)

Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
by: Liu, Chang, et al.
Published: (2024)

MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
by: Hui, Mude, et al.
Published: (2024)

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
by: Li, Yingtai, et al.
Published: (2023)

Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
by: Najaf, Mahrokh, et al.
Published: (2025)

Low-resolution Prior Equilibrium Network for CT Reconstruction
by: Yang, Yijie, et al.
Published: (2024)

Self-Supervised Training For Low Dose CT Reconstruction
by: Unal, Mehmet Ozan, et al.
Published: (2020)

Deep Inertia $L_p$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
by: Guo, Yu, et al.
Published: (2024)

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction
by: Wu, Minghui, et al.
Published: (2022)

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays
by: Qiao, Zhi, et al.
Published: (2024)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model
by: Guo, Pengfei, et al.
Published: (2025)

Filtered 2D Contour-Based Reconstruction of 3D STL Model from CT-DICOM Images
by: Chandar, K. Punnam, et al.
Published: (2026)

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
by: Yu, Pengfei, et al.
Published: (2025)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
by: Yang, Liutao, et al.
Published: (2024)

Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow
by: Arratia, Pablo, et al.
Published: (2024)

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
by: Sanda, Rohan, et al.
Published: (2025)

Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
by: Khiati, Rezkellah Noureddine, et al.
Published: (2025)