Editorial for “Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI”

Qi Peng

doi:10.1002/jmri.29159

Editorial for “Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI”

Radiology

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Journal	Journal of Magnetic Resonance Imaging
DOIs	https://doi.org/10.1002/jmri.29159
State	Accepted/In press - 2023

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1002/jmri.29159

Cite this

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title = "Editorial for “Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI”",

author = "Qi Peng",

year = "2023",

doi = "10.1002/jmri.29159",

language = "English (US)",

journal = "Journal of Magnetic Resonance Imaging",

issn = "1053-1807",

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JF - Journal of Magnetic Resonance Imaging

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Editorial for “Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI”

ASJC Scopus subject areas

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