Cover Image

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Qi, Chen, Zhihao, Zeng, Dong, Zhang, Junping, Ma, Jianhua, Shan, Hongming
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

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
by: Gao, Qi, et al.
Published: (2023)

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
by: Ma, Chenglong, et al.
Published: (2025)

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
by: Li, Zilong, et al.
Published: (2022)

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

Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
by: Yang, Ziyuan, et al.
Published: (2025)

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

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

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
by: Chen, Zhihao, et al.
Published: (2023)

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

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
by: Liu, Qiqing, et al.
Published: (2025)

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

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

BioAtt: Anatomical Prior Driven Low-Dose CT Denoising
by: Kim, Namhun, et al.
Published: (2025)

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
by: Niu, Xiaolong, et al.
Published: (2025)

Learning High-Quality Initial Noise for Single-View Synthesis with Diffusion Models
by: Zhang, Zhihao, et al.
Published: (2025)

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
by: Ataei, Sepehr, et al.
Published: (2020)

Transfer CLIP for Generalizable Image Denoising
by: Cheng, Jun, et al.
Published: (2024)

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
by: Chen, Gaofeng, et al.
Published: (2024)

Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
by: Guan, Yu, et al.
Published: (2024)

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

Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
by: Selig, Tim, et al.
Published: (2024)

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
by: Wang, Runze, et al.
Published: (2025)

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

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

Real-Time Reconstruction of 3D Bone Models via Very-Low-Dose Protocols
by: Lin, Yiqun, et al.
Published: (2025)

Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
by: Sun, Yipeng, et al.
Published: (2025)

Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising
by: Long, Junhao, et al.
Published: (2025)

Realistic Noise Synthesis with Diffusion Models
by: Wu, Qi, et al.
Published: (2023)

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
by: Zhao, Haoyu, et al.
Published: (2024)

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
by: Zhang, Yiwen, et al.
Published: (2023)

Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising
by: Lu, Liying, et al.
Published: (2025)

Continuous Filtered Backprojection by Learnable Interpolation Network
by: Lin, Hui, et al.
Published: (2025)

Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients
by: Wu, Jia-Mian, et al.
Published: (2026)

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

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

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

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

WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
by: Zhao, Haoyu, et al.
Published: (2024)

FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising
by: Chen, Zhihao, et al.
Published: (2025)

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