Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings

Learning a variational network for reconstruction of accelerated MRI data

Kerstin Hammernik, Teresa Klatzer, Erich Kobler et al. · Magnetic Resonance in Medicine · 2017 · 1.6K citations

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

Guang Yang, Simiao Yu, Hao Dong et al. · IEEE Transactions on Medical Imaging · 2017 · 1.1K citations · Full text

Engineering, Machine Learning, Sensing Mri Reconstruction +17

Accelerating magnetic resonance imaging via deep learning

Shanshan Wang, Zhenghang Su, Leslie Ying et al. · 2016 · 822 citations

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

Tran Minh Quan, Thanh Nguyen-Duc, Won‐Ki Jeong · IEEE Transactions on Medical Imaging · 2018 · 632 citations · Full text

Transform-based image enhancement algorithms with performance measure

Sos С. Agaian, Karen Panetta, Artyom M. Grigoryan · IEEE Transactions on Image Processing · 2001 · 394 citations

Machine Vision, Image Analysis, Medical Imaging +14