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Limited-Angle Computed Tomography (LACT) is a non-destructive evaluation technique used in a variety of applications ranging from security to medicine.
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Restoration of missing data in limited angle tomography based on helgason–ludwig consistency conditions
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View-interpolation of sparsely sampled sinogram using convolutional neural network
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The little engine that could: Regularization by denoising (RED)
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J. Adler and O. Öktem · 2018
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Lose the views: Limited angle ct reconstruction via implicit sinogram completion
R. Anirudh, H. Kim, J. J Thiagarajan, K. A. Mohan, K. Champley, and T. Bremer · 2018
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CNN-based projected gradient descent for consistent ct image reconstruction
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Framing U-Net via deep convolutional framelets: Application to sparse-view CT
Y. Han and J. C. Ye · 2018
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J. Liu, Y. Sun, W. Gan, B. Wohlberg, and U. S. Kamilov · 2021
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Multi-slice fusion for sparse-view and limited-angle 4d ct reconstruction
S. Majee, T. Balke, C. A.J. Kemp, G. T. Buzzard, and C. A. Bouman · 2021
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Improved denoising diffusion probabilistic models
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Algorithm-driven advances for scientific ct instruments: from model-based to deep learning-based approaches
S. V. Venkatakrishnan, K. A. Mohan, A. K. Ziabari, and C. A. Bouman · 2021
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Scale-space anisotropic total variation for limited angle tomography
Y. Huang, O. Taubmann, X. Huang, V. Haase, G. Lauritsch, and A. Maier · 2018
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prDeep: Robust phase retrieval with a flexible deep network
C. Metzler, P. Schniter, A. Veeraraghavan, and R. Baraniuk · 2018
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Image reconstruction is a new frontier of machine learning
G. Wang, J. C. Ye, K. Mueller, and J. A. Fessler · 2018
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Deep convolutional framelets: A general deep learning framework for inverse problems
J. C. Ye, Y. Han, and E. Cha · 2018
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Large scale GAN training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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A deep learning reconstruction framework for differential phase-contrast computed tomography with incomplete data
J. Fu, J. Dong, and F. Zhao · 2019
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Intratomo: Self-supervised learning-based tomography via sinogram synthesis and prediction
G. Zang, R. Idoughi, R. Li, P. Wonka, and W. Heidrich · 2021
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Plug-and-play image restoration with deep denoiser prior
K. Zhang, Y. Li, W. Zuo, L. Zhang, L. Van Gool, and R. Timofte · 2021
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Cd-net: Comprehensive domain network with spectral complementary for dect sparse-view reconstruction
Y. Zhang, T. Lv, R. Ge, Q. Zhao, D. Hu, L. Zhang, J. Liu, Y. Zhang, Q. Liu, W. Zhao, and Y. Chen · 2021
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Limited view tomographic reconstruction using a cascaded residual dense spatial-channel attention network with projection data fidelity layer
B. Zhou, S. K. Zhou, J. S. Duncan, and C. Liu · 2021
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Foundations of computational imaging: A model-based approach, 2022
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Livermore tomography tools: Accurate, fast, and flexible software for tomographic science
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Diffusion posterior sampling for general noisy inverse problems
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Improving diffusion models for inverse problems using manifold constraints
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Score-based diffusion models for accelerated mri
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