3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem

Shohei Hanaoka, Karl D. Fritscher, Martin Welk, Mitsutaka Nemoto, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert. 3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. In Gabor Fichtinger, Anne L. Martel, Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III. Volume 6893 of Lecture Notes in Computer Science, pages 554-561, Springer, 2011. [doi]

@inproceedings{HanaokaFWNMHOS11,
  title = {3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem},
  author = {Shohei Hanaoka and Karl D. Fritscher and Martin Welk and Mitsutaka Nemoto and Yoshitaka Masutani and Naoto Hayashi and Kuni Ohtomo and Rainer Schubert},
  year = {2011},
  doi = {10.1007/978-3-642-23626-6_68},
  url = {http://dx.doi.org/10.1007/978-3-642-23626-6_68},
  researchr = {https://researchr.org/publication/HanaokaFWNMHOS11},
  cites = {0},
  citedby = {0},
  pages = {554-561},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III},
  editor = {Gabor Fichtinger and Anne L. Martel and Terry M. Peters},
  volume = {6893},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-23625-9},
}