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Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

2023

Article

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Author(s): Katiyar, P. and Schwenck, J. and Frauenfeld, L. and Divine, M. R. and Agrawal, V. and Kohlhofer, U. and Gatidis, S. and Kontermann, R. and Königsrainer, A. and Quintanilla-Martinez, L. and la Fougère, C. and Schölkopf, B. and Pichler, B. J. and Disselhorst, J. A.
Journal: Nature Biomedical Engineering
Volume: 7
Number (issue): 8
Pages: 1014--1027
Year: 2023
Month: June
Department(s): Empirische Inferenz
Bibtex Type: Article (article)
DOI: 10.1038/s41551-023-01047-9
State: Published

BibTex 

@article{Katiyaretal23,
  title = {Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data},
  author = {Katiyar, P. and Schwenck, J. and Frauenfeld, L. and Divine, M. R. and Agrawal, V. and Kohlhofer, U. and Gatidis, S. and Kontermann, R. and K{\"o}nigsrainer, A. and Quintanilla-Martinez, L. and la Fougère, C. and Sch{\"o}lkopf, B. and Pichler, B. J. and Disselhorst, J. A.},
  journal = {Nature Biomedical Engineering},
  volume = {7},
  number = {8},
  pages = {1014--1027},
  month = jun,
  year = {2023},
  doi = {10.1038/s41551-023-01047-9},
  month_numeric = {6}
}