DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.
Wang, Shanshan
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. [electronic resource] - Magnetic resonance imaging 05 2020 - 136-147 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1873-5894
10.1016/j.mri.2020.02.002 doi
Algorithms
Artifacts
Brain--diagnostic imaging
Databases, Factual
Deep Learning
Diagnostic Tests, Routine
Humans
Image Processing, Computer-Assisted--methods
Magnetic Resonance Imaging
Models, Theoretical
Neural Networks, Computer
Normal Distribution
Poisson Distribution
Reproducibility of Results
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. [electronic resource] - Magnetic resonance imaging 05 2020 - 136-147 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1873-5894
10.1016/j.mri.2020.02.002 doi
Algorithms
Artifacts
Brain--diagnostic imaging
Databases, Factual
Deep Learning
Diagnostic Tests, Routine
Humans
Image Processing, Computer-Assisted--methods
Magnetic Resonance Imaging
Models, Theoretical
Neural Networks, Computer
Normal Distribution
Poisson Distribution
Reproducibility of Results