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SwiftMR
Journal paper SwiftMR
Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
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Superficial venous morphometry in the antecubital fossa: An autonomous robotic ultrasound-based analysis
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SwiftMR Brochure
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Spine Case report
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Knee Case report
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Brain Case report
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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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