Imagen de Portada

Physics-Guided Dual-Domain Plug-and-Play ADMM for Low-Dose CT Reconstruction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dutta, Sayantan, Chatterjee, Sudhanya, Galande, Ashwini, Shriram, K. S., Das, Bipul
Formato:	Preprint
Publicado:	2026
Materias:	Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Structure-Aware Adaptive Kernel MPPCA Denoising for Diffusion MRI
por: Singhal, Ananya, et al.
Publicado: (2025)

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
por: Du, Chenhe, et al.
Publicado: (2026)

An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
por: Unal, Mehmet Ozan, et al.
Publicado: (2020)

Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction
por: Chen, Daisy
Publicado: (2024)

Low-Dose CT Reconstruction Using Dataset-free Learning
por: Wang, Feng, et al.
Publicado: (2024)

Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and Applications
por: Suzuki, Yodai, et al.
Publicado: (2025)

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

Test Time Optimized Generalized AI-based Medical Image Registration Method
por: C., Sneha Sree, et al.
Publicado: (2025)

A Plug-and-Play Image Registration Network
por: Hu, Junhao, et al.
Publicado: (2023)

Equivariant Denoisers for Plug and Play Image Restoration
por: Renaud, Marien, et al.
Publicado: (2025)

Unrolling Plug-and-Play Network for Hyperspectral Unmixing
por: Zhao, Min, et al.
Publicado: (2024)

CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
por: Li, Linxuan, et al.
Publicado: (2024)

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

Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
por: Hong, Tao, et al.
Publicado: (2024)

Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data
por: Tivnan, Matthew, et al.
Publicado: (2025)

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

LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
por: Aggarwal, Hemant Kumar, et al.
Publicado: (2024)

A Plug-and-Play Untrained Neural Network for Full Waveform Inversion in Reconstructing Sound Speed Images of Ultrasound Computed Tomography
por: Yan, Weicheng, et al.
Publicado: (2024)

Efficient Plug-and-Play method for Dynamic Imaging Via Kalman Smoothing
por: Hawkes, Benjamin, et al.
Publicado: (2026)

Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration
por: Cai, Jianghe, et al.
Publicado: (2024)

CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging
por: Allen, Tony G., et al.
Publicado: (2024)

RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
por: Wang, Jianxu, et al.
Publicado: (2026)

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

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

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

Viscosity Stabilized Plug-and-Play Reconstruction
por: Sinha, Arghya, et al.
Publicado: (2025)

Plug-and-Play Latent Feature Editing for Orientation-Adaptive Quantitative Susceptibility Mapping Neural Networks
por: Gao, Yang, et al.
Publicado: (2023)

Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging
por: Matsuda, Takashi, et al.
Publicado: (2024)

Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors
por: Wang, Yaning, et al.
Publicado: (2026)

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
por: Hao, Jiacheng, et al.
Publicado: (2025)

Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
por: Floquet, Arthur, et al.
Publicado: (2024)

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

Projection Guided Personalized Federated Learning for Low Dose CT Denoising
por: Zafar, Anas, et al.
Publicado: (2026)

M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET Enhancement
por: Yar, Ghulam Nabi Ahmad Hassan, et al.
Publicado: (2026)

Prompted Contextual Transformer for Incomplete-View CT Reconstruction
por: Ma, Chenglong, et al.
Publicado: (2023)

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

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
por: Chen, Jixiang, et al.
Publicado: (2025)

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

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

Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning
por: Aggarwal, Hemant Kumar, et al.
Publicado: (2025)