:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	An, Ran, Chen, Ke, Li, Hongwei
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.17543
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm
by: An, Ran, et al.
Published: (2024)

Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment
by: Chen, Kecheng, et al.
Published: (2023)

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

Low-dose CT Denoising with Language-engaged Dual-space Alignment
by: Chen, Zhihao, et al.
Published: (2024)

Evaluating Adversarial Robustness of Low dose CT Recovery
by: Gandikota, Kanchana Vaishnavi, et al.
Published: (2024)

CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scans
by: Djahnine, Aissam, et al.
Published: (2024)

Zero-Shot Low-dose CT Denoising via Sinogram Flicking
by: Shi, Yongyi, et al.
Published: (2025)

Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction
by: Xu, Shuo, et al.
Published: (2023)

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
by: Tian, Xuanyu, et al.
Published: (2025)

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

On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting
by: Wagner, Fabian, et al.
Published: (2022)

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)

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

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

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

Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
by: Guo, Jiaqi, et al.
Published: (2025)

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

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
by: Fang, Changsheng, et al.
Published: (2025)

MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction
by: Fan, Xiaohong, et al.
Published: (2024)

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction
by: Li, Zhongsen, et al.
Published: (2024)

Efficient Flow Matching for Sparse-View CT Reconstruction
by: Shi, Jiayang, et al.
Published: (2026)

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

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
by: Jiang, Caiwen, et al.
Published: (2024)

PFCM: Poisson flow consistency models for low-dose CT image denoising
by: Hein, Dennis, et al.
Published: (2024)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
by: Lin, Yiqun, et al.
Published: (2024)

Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
by: Kwarciak, Kamil, et al.
Published: (2024)

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

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

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
by: Chen, Zhihao, et al.
Published: (2025)

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
by: Liu, Fengbei, et al.
Published: (2026)

ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalization
by: Kang, Hongtao, et al.
Published: (2023)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
by: Liu, Xuan, et al.
Published: (2023)

Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
by: Kobayashi, Kazuma, et al.
Published: (2020)

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

Multiscale Augmented Normalizing Flows for Image Compression
by: Windsheimer, Marc, et al.
Published: (2023)

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
by: Chen, Zini, et al.
Published: (2025)

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
by: Tian, Xuanyu, et al.
Published: (2025)

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

Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks
by: Guan, Zhilin, et al.
Published: (2026)