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에어스메디컬의 발행물
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Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
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MR-self Noise2Noise: Self-supervised deep learning-based image quality improvement of sublillimeter resolution 3D MR images
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MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
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Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults
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Convolutional neural network-based reconstruction for acceleration of prostate T2 weighted MR imaging: a retro- and prospective study
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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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