High-quality segmentation of low quality cardiac MR images using k-space artefact correction

Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastao Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel. High-quality segmentation of low quality cardiac MR images using k-space artefact correction. In M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren, editors, International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Volume 102 of Proceedings of Machine Learning Research, pages 380-389, PMLR, 2019. [doi]

@inproceedings{OksuzCBRPCPKS19,
  title = {High-quality segmentation of low quality cardiac MR images using k-space artefact correction},
  author = {Ilkay Öksüz and James R. Clough and Wenjia Bai and Bram Ruijsink and Esther Puyol-Antón and Gastao Cruz and Claudia Prieto and Andrew P. King and Julia A. Schnabel},
  year = {2019},
  url = {http://proceedings.mlr.press/v102/oksuz19a.html},
  researchr = {https://researchr.org/publication/OksuzCBRPCPKS19},
  cites = {0},
  citedby = {0},
  pages = {380-389},
  booktitle = {International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom},
  editor = {M. Jorge Cardoso and Aasa Feragen and Ben Glocker and Ender Konukoglu and Ipek Oguz and Gozde B. Unal and Tom Vercauteren},
  volume = {102},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}