ArticleApplied mathematical modelling2018
Low-dose spectral CT reconstruction using image gradient
Article in Applied mathematical modelling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- A competition-proven deep learning-based dual-domain framework for low-dose CBCT reconstruction.Quantitative imaging in medicine and surgery · 2026Article
- Semi-stationary Multi-source AI-powered Real-time Tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction.IEEE transactions on medical imaging · 2024Article
- Systematic Review on Learning-based Spectral CT.ArXiv · 2024Article
- Systematic Review on Learning-based Spectral CT.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Image-spectral decomposition extended-learning assisted by sparsity for multi-energy computed tomography reconstruction.Quantitative imaging in medicine and surgery · 2023Article
- Definition of the Region of Interest for the Assessment of Alveolar Bone Repair Using Micro-computed Tomography.Journal of digital imaging · 2023Article
- Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition.Quantitative imaging in medicine and surgery · 2023Article
- Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction.Patterns (New York, N.Y.) · 2022Article
- Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results.Patterns (New York, N.Y.) · 2022Article
- Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks.Patterns (New York, N.Y.) · 2022Article
- DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction.IEEE transactions on medical imaging · 2021Article
- Image-domain Material Decomposition for Spectral CT using a Generalized Dictionary Learning.IEEE transactions on radiation and plasma medical sciences · 2021Article
- A Photoacoustic Imaging Algorithm Based on Regularized Smoothed LMolecular imaging · 2021Article
- 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT.IEEE access : practical innovations, open solutions · 2021Article
- Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19.IEEE transactions on instrumentation and measurement · 2021Article
- Refined Locally Linear Transform-Based Spectral-Domain Gradient Sparsity and Its Applications in Spectral CT Reconstruction.IEEE access : practical innovations, open solutions · 2021Article
- Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization.IEEE transactions on medical imaging · 2020Article
- Multi-energy CT reconstruction using tensor nonlocal similarity and spatial sparsity regularization.Quantitative imaging in medicine and surgery · 2020Article
- DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering.IEEE transactions on medical imaging · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Spectral computed tomography (CT) has a great superiority in lesion detection, tissue characterization and material decomposition. To further extend its potential clinical applications, in this work, we propose an improved tensor dictionary learning method for low-dose spectral CT reconstruction with a constraint of image gradient
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.