A deep learning reconstruction framework for differential phase-contrast computed tomography with incomplete data

J Fu, J Dong, F Zhao - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …
被引用次数：35 相关文章

A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data.

J Fu, J Dong, F Zhao - IEEE Transactions on Image Processing: a …, 2019 - europepmc.org
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …

[引用][C] A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data

J Fu, J Dong, F Zhao - IEEE Transactions on Image …, 2020 - ui.adsabs.harvard.edu
A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed
Tomography With Incomplete Data - NASA/ADS Now on home page ads icon ads Enable …

A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data

J Fu, J Dong, F Zhao - … : a publication of the IEEE Signal …, 2020 - pubmed.ncbi.nlm.nih.gov
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …