Image de couverture de livre

A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pramanik, Aniket, Venkatakrishnan, Singanallur V., Rahman, Obaidullah, Ziabari, Amirkoushyar
Format:	Preprint
Publié:	2025
Sujets:	Image and Video Processing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction
par: Duba-Sullivan, Haley, et autres
Publié: (2025)

A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography
par: Pramanik, Aniket, et autres
Publié: (2025)

2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
par: Duba-Sullivan, Haley, et autres
Publié: (2024)

Edge Projection-Based Adaptive View Selection for Cone-Beam CT
par: Lin, Jingsong, et autres
Publié: (2024)

Regularizing INR with diffusion prior self-supervised 3D reconstruction of neutron computed tomography data
par: Hossain, Maliha, et autres
Publié: (2026)

Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing
par: Tabassum, Anika, et autres
Publié: (2024)

Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
par: Chowdhury, Mohammad Samin Nur, et autres
Publié: (2024)

Deep Inertia $L_p$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
par: Guo, Yu, et autres
Publié: (2024)

MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
par: Chowdhury, Mohammad Samin Nur, et autres
Publié: (2025)

Fast Hyperspectral Neutron Tomography
par: Chowdhury, Mohammad Samin Nur, et autres
Publié: (2024)

Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography
par: Efimov, Timofey, et autres
Publié: (2026)

Plug-and-Play Half-Quadratic Splitting for Ptychography
par: Denker, Alexander, et autres
Publié: (2024)

Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography
par: Chowdhury, Mohammad Samin Nur, et autres
Publié: (2023)

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

Spatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparse Projections
par: Fu, Yabo, et autres
Publié: (2025)

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction
par: Wu, Minghui, et autres
Publié: (2022)

Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
par: Xia, Wenjun, et autres
Publié: (2023)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
par: Lin, Yiqun, et autres
Publié: (2024)

Prompted Contextual Transformer for Incomplete-View CT Reconstruction
par: Ma, Chenglong, et autres
Publié: (2023)

3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement
par: Alavala, Sasidhar, et autres
Publié: (2024)

vSHARP: variable Splitting Half-quadratic Admm algorithm for Reconstruction of inverse-Problems
par: Yiasemis, George, et autres
Publié: (2023)

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
par: Chen, Jixiang, et autres
Publié: (2025)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
par: Janjusevic, Nikola, et autres
Publié: (2025)

Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review
par: Xun, Siyi, et autres
Publié: (2024)

Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts
par: Murahashi, Naruki, et autres
Publié: (2026)

Limited-Angle CT Reconstruction Using Multi-Volume Latent Consistency Model
par: Isogai, Hinako, et autres
Publié: (2026)

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
par: Xu, Siying, et autres
Publié: (2026)

Physics-Guided Dual-Domain Plug-and-Play ADMM for Low-Dose CT Reconstruction
par: Dutta, Sayantan, et autres
Publié: (2026)

An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
par: Unal, Mehmet Ozan, et autres
Publié: (2020)

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
par: Sun, Yipeng, et autres
Publié: (2025)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
par: Xu, Xiaojian, et autres
Publié: (2024)

MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
par: Jadue, Natalie M., et autres
Publié: (2024)

DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images
par: Yang, Tianqi, et autres
Publié: (2024)

Accelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation
par: Peng, Tianhao, et autres
Publié: (2023)

Low-Dose CT Reconstruction Using Dataset-free Learning
par: Wang, Feng, et autres
Publié: (2024)

Equivariance2Inverse: A Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data
par: Schut, Dirk Elias, et autres
Publié: (2025)

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
par: Zhou, Yirong, et autres
Publié: (2022)

Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
par: Guo, Jiaqi, et autres
Publié: (2025)

RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
par: Wang, Jianxu, et autres
Publié: (2026)

A Low-dose CT Reconstruction Network Based on TV-regularized OSEM Algorithm
par: An, Ran, et autres
Publié: (2024)