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Spectral Clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach

2017

Article

ei


Author(s): Katiyar, P. and Divine, M. R. and Kohlhofer, U. and Quintanilla-Martinez, L. and Schölkopf, B. and Pichler, B. J. and Disselhorst, J. A.
Journal: Journal of Nuclear Medicine
Volume: 58
Number (issue): 4
Pages: 651--657
Year: 2017

Department(s): Empirical Inference
Bibtex Type: Article (article)

DOI: 10.2967/jnumed.116.181370
State: Published
URL: http://jnm.snmjournals.org/content/58/4/651.abstract

BibTex

@article{Katiyaretal16b,
  title = {Spectral Clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach},
  author = {Katiyar, P. and Divine, M. R. and Kohlhofer, U. and Quintanilla-Martinez, L. and Sch{\"o}lkopf, B. and Pichler, B. J. and Disselhorst, J. A.},
  journal = {Journal of Nuclear Medicine},
  volume = {58},
  number = {4},
  pages = {651--657},
  year = {2017},
  url = {http://jnm.snmjournals.org/content/58/4/651.abstract}
}