Eddy Solomon, Patricia M Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock
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Abstract
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. The fastMRI breast dataset is the first large-scale dataset of radial k-space and DICOM data for breast dynamic contrast-enhanced MRI with case-level labels. Its public availability aims to advance fast and quantitative machine learning research. ©RSNA, 2025.