Sparse-view cone beam ct reconstruction using data-consistent supervised and adversarial learning from scarce training data

A Lahiri, G Maliakal, ML Klasky… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reconstruction of CT images from a limited set of projections through an object is important
in several applications ranging from medical imaging to industrial settings. As the number of …
被引用次数：15 相关文章

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data

A Lahiri, G Maliakal, ML Klasky, JA Fessler… - openreview.net
Reconstruction of CT images from a limited set of projections through an object is important
in several applications ranging from medical imaging to industrial settings. As the number of …

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data

A Lahiri, M Klasky, JA Fessler… - arXiv preprint arXiv …, 2022 - arxiv.org
Reconstruction of CT images from a limited set of projections through an object is important
in several applications ranging from medical imaging to industrial settings. As the number of …

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data

A Lahiri, M Klasky, JA Fessler… - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Reconstruction of CT images from a limited set of projections through an object is important
in several applications ranging from medical imaging to industrial settings. As the number of …