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

2016

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
Year: 2016

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

DOI: 10.2967/jnumed.116.181370
Note: (published ahead of print November 3, 2016)
State: Published

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},
  year = {2016},
  note = {(published ahead of print November 3, 2016)}
}