@article{c285a1dd0948488f9648fb9c6ea49f0b,
title = "FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning",
abstract = "A publicly available dataset containing k-space data as well as Digital Imaging and Communications in Medicine image data of knee images for accelerated MR image reconstruction using machine learning is presented.",
author = "Flrian Knoll and Jure Zbontar and Anuroop Sriram and Muckley, {Matthew J.} and Mary Bruno and Aarn Defazio and Marc Parente and Geras, {Krzysztof J.} and Je Katsnelsn and Hersh Chandarana and Zizhao Zhang and Michal Drzdzalv and Adriana Rmer and Michael Rabbat and Pascal Vincent and James Pinkertn and Duo Wang and Nafissa Yakubova and Erich Owens and Zitnick, {C. Lawrence} and Recht, {Michael P.} and Sodickson, {Daniel K.} and Lui, {Yvonne W.}",
note = "Publisher Copyright: {\textcopyright} RSNA, 2020.",
year = "2020",
month = jan,
doi = "10.1148/ryai.2020190007",
language = "English (US)",
volume = "2",
journal = "Radiology: Artificial Intelligence",
issn = "2638-6100",
publisher = "Radiological Society of North America Inc.",
number = "1",
}