MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging

Sparse MRI: The application of compressed sensing for rapid MR imaging

Michael Lustig, David L. Donoho, John M. Pauly · Magnetic Resonance in Medicine · 2007 · 7K citations · Full text

Medicine, Biomedical Engineering, Radiology +17

SENSE: Sensitivity encoding for fast MRI

Klaas P. Pruessmann, Markus Weiger, Markus B. Scheidegger et al. · Magnetic Resonance in Medicine · 1999 · 6.1K citations

Medicine, Biomedical Engineering, Radiology +17

ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

Martin Uecker, Peng Lai, Mark Murphy et al. · Magnetic Resonance in Medicine · 2013 · 1.4K citations · Full text

Natural Sciences, Biomedical Engineering, Radiology +17

Prevalence and risk factors of a rotator cuff tear in the general population

Atsushi Yamamoto, Kenji Takagishi, Toshihisa Osawa et al. · Journal of Shoulder and Elbow Surgery · 2009 · 1.4K citations

Medicine, Orthopaedic Surgery, Orthopedic Surgery +15

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

Medicine, Biomedical Engineering, Radiology +17