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fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction

Florian Knoll1, Jure Zbontar1, Anuroop Sriram1

  • 1Department of Radiology, NYU School of Medicine, 650 First Ave, New York, NY 10016 (F.K., M.J.M., M.B., M.P., K.J.G., J.K., H.C., D.W., N.Y., M.P.R., D.K.S., Y.W.L.); Department of Artificial Intelligence Research, Facebook, Menlo Park, Calif (J.Z., A.S., J.P., E.O., C.L.Z.); Department of Artificial Intelligence Research, Facebook, New York, NY (A.D.); Center for Data Science, New York University, New York, NY (K.J.G.); Department of Artificial Intelligence Research, Facebook, Montreal, Canada (M.D., A.R., M.R., P.V.); and Department of Computer Science, University of Florida, Gainesville, Fla (Z.Z.).

Radiology. Artificial Intelligence
|February 21, 2020
PubMed

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