A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy

Juan David Ospina, Frederic Commandeur, Richard Ríos, Gaël Dréan, Juan Carlos Correa, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta. A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Volume 8150 of Lecture Notes in Computer Science, pages 387-394, Springer, 2013. [doi]

@inproceedings{OspinaCRDCSHCA13,
  title = {A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy},
  author = {Juan David Ospina and Frederic Commandeur and Richard Ríos and Gaël Dréan and Juan Carlos Correa and Antoine Simon and Pascal Haigron and Renaud de Crevoisier and Oscar Acosta},
  year = {2013},
  doi = {10.1007/978-3-642-40763-5_48},
  url = {http://dx.doi.org/10.1007/978-3-642-40763-5_48},
  researchr = {https://researchr.org/publication/OspinaCRDCSHCA13},
  cites = {0},
  citedby = {0},
  pages = {387-394},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II},
  editor = {Kensaku Mori and Ichiro Sakuma and Yoshinobu Sato and Christian Barillot and Nassir Navab},
  volume = {8150},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40762-8},
}