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Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study
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Deep Learning-based MR Reconstruction Improves Robustness of Brain Volumetry in Low-Quality MR Images
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High-Resolution Bone Image from shoulder MRI Using Deep Neural Network on 3-D Accelerated Dixon GRE (CAIPIRINHA Dixon)
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Enhancing Radiomic Feature Correlations and Reproducibility in Knee MRI by Deep Learning-Based MR Reconstruction
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Stability of Deep Learning-based Image Quality Improvement in MRI of the Knee: Correlation with Arthroscopy
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Application of deep-learning-based super-resolution image quality improvement on vessel wall imaging
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Pitfalls of normative percentile analysis with different racial groups in MRI brain volumetry
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Prospective Validation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to Spin-Echo and Gradient-Echo Sequences
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