Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. Okada, T., Linguraru, M. G., Hori, M., Summers, R. M., Tomiyama, N., & Sato, Y. Medical Image Analysis, 26(1):1-18, 2015.
Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. [link]Link  Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. [link]Paper  bibtex   
@article{journals/mia/OkadaLHSTS15,
  added-at = {2016-01-06T00:00:00.000+0100},
  author = {Okada, Toshiyuki and Linguraru, Marius George and Hori, Masatoshi and Summers, Ronald M. and Tomiyama, Noriyuki and Sato, Yoshinobu},
  biburl = {http://www.bibsonomy.org/bibtex/2b9165a3d391558e82e82c446c05a4112/dblp},
  ee = {http://dx.doi.org/10.1016/j.media.2015.06.009},
  interhash = {3d79c49a35ab665985da033ffca888d1},
  intrahash = {b9165a3d391558e82e82c446c05a4112},
  journal = {Medical Image Analysis},
  keywords = {dblp},
  number = 1,
  pages = {1-18},
  timestamp = {2016-01-07T11:38:44.000+0100},
  title = {Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.},
  url = {http://dblp.uni-trier.de/db/journals/mia/mia26.html#OkadaLHSTS15},
  volume = 26,
  year = 2015
}

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