A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction.
Min XiaoZi WangJiefeng GuoXiaobo QuPublished in: CoRR (2023)
Keyphrases
- synthetic data
- image reconstruction
- magnetic resonance
- deep learning
- mr images
- medical images
- unsupervised learning
- image registration
- image data
- brain images
- positron emission tomography
- super resolution
- machine learning
- data sets
- computed tomography
- mri data
- mr imaging
- cardiac motion
- real world
- cardiac imaging
- low resolution
- multiscale
- magnetic resonance images
- prostate cancer
- higher order
- respiratory motion
- partial volume
- input image
- high quality