Iterative low-dose CT reconstruction with priors trained by artificial neural network

D Wu, K Kim, G El Fakhri, Q Li - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …

Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network

D Wu, K Kim, G El Fakhri, Q Li - 2017 - sites.google.com
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …

[HTML][HTML] Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network

D Wu, K Kim, G El Fakhri, Q Li - IEEE transactions on medical …, 2017 - ncbi.nlm.nih.gov
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …

[引用][C] Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

D Wu, K Kim, G El Fakhri, Q Li - IEEE Transactions on Medical Imaging, 2017 - cir.nii.ac.jp
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.

D Wu, K Kim, G El Fakhri, Q Li - IEEE Transactions on Medical …, 2017 - europepmc.org
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

D Wu, K Kim, G El Fakhri, Q Li - IEEE transactions on …, 2017 - pubmed.ncbi.nlm.nih.gov
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …