@article{ef-32-1,
  title = {fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning},
  author = {Knoll, Florian and Zbontar, Jure and Sriram, Anuroop and Muckley, Matthew J. and Bruno, Mary and Defazio, Aaron and Parente, Marc and Geras, Krzysztof J. and Katsnelson, Joe and Chandarana, Hersh and Zhang, Zizhao and Drozdzalv, Michal and Romero, Adriana and Rabbat, Michael and Vincent, Pascal and Pinkerton, James and Wang, Duo and Yakubova, Nafissa and Owens, Erich and Zitnick, C. Lawrence and Recht, Michael P. and Sodickson, Daniel K. and Lui, Yvonne W.},
  journal = {Radiology: Artificial Intelligence},
  year = {2020},
  doi = {10.1148/ryai.2020190007},
  url = {https://doi.org/10.1148/ryai.2020190007}
}

@article{ef-32-2,
  title = {Learning a variational network for reconstruction of accelerated MRI data},
  author = {Hammernik, Kerstin and Klatzer, Teresa and Kobler, Erich and Recht, Michael P. and Sodickson, Daniel K. and Pock, Thomas and Knoll, Florian},
  journal = {Magnetic Resonance in Medicine},
  year = {2017},
  doi = {10.1002/mrm.26977},
  url = {https://doi.org/10.1002/mrm.26977}
}

@article{ef-32-3,
  title = {On instabilities of deep learning in image reconstruction and the potential costs of AI},
  author = {Antun, Vegard and Renna, Francesco and Poon, Clarice and Adcock, Ben and Hansen, Anders C.},
  journal = {Proceedings of the National Academy of Sciences},
  year = {2020},
  doi = {10.1073/pnas.1907377117},
  url = {https://doi.org/10.1073/pnas.1907377117}
}