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Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge
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State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
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Deep Learning in MR Image Processing
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Real-time processing of myelin water imaging using artificial neural network
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g-factor attention model for deep neural network powered parallel imaging: gANN
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Quad-contrast imaging with deep learning-powered reconstruction: 2-minute neuro-evaluation
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Quantitative susceptibility mapping using deep neural network: QSMnet
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Accelerated multi-contrast imaging powered by machine learning: preliminary results
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