Human-level CMR image analysis with deep fully convolutional networks

Human-level CMR image analysis with deep fully convolutional networks. Bai, W., Sinclair, M., Tarroni, G., Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., Carapella, V., Kim, Y. J., Suzuki, H., Kainz, B., Matthews, P. M., Petersen, S. E., Piechnik, S. K., Neubauer, S., Glocker, B., & Rueckert, D. CoRR, 2017.

Paper bibtex

@article{DBLP:journals/corr/abs-1710-09289,
  author    = {Wenjia Bai and
               Matthew Sinclair and
               Giacomo Tarroni and
               Ozan Oktay and
               Martin Rajchl and
               Ghislain Vaillant and
               Aaron M. Lee and
               Nay Aung and
               Elena Lukaschuk and
               Mihir M. Sanghvi and
               Filip Zemrak and
               Kenneth Fung and
               Jos{\'{e}} Miguel Paiva and
               Valentina Carapella and
               Young Jin Kim and
               Hideaki Suzuki and
               Bernhard Kainz and
               Paul M. Matthews and
               Steffen E. Petersen and
               Stefan K. Piechnik and
               Stefan Neubauer and
               Ben Glocker and
               Daniel Rueckert},
  title     = {Human-level {CMR} image analysis with deep fully convolutional networks},
  journal   = {CoRR},
  volume    = {abs/1710.09289},
  year      = {2017},
  url       = {http://arxiv.org/abs/1710.09289},
  archivePrefix = {arXiv},
  eprint    = {1710.09289},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1710-09289.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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