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A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation

2017

Article

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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: Molecular Imaging and Biology
Volume: 19
Number (issue): 3
Pages: 391--397
Year: 2017

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

DOI: 10.1007/s11307-016-1009-y
State: Published

BibTex

@article{Katiyaretal16a,
  title = {A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation},
  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 = {Molecular Imaging and Biology},
  volume = {19},
  number = {3},
  pages = {391--397},
  year = {2017},
  doi = {10.1007/s11307-016-1009-y}
}