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Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data.
Lima, E A B F; Oden, J T; Wohlmuth, B; Shahmoradi, A; Hormuth, D A; Yankeelov, T E; Scarabosio, L; Horger, T.
  • Lima EABF; Institute for Computational Engineering and Sciences (ICES), The Center of Computational Oncology (CCO), The University of Texas at Austin.
  • Oden JT; Institute for Computational Engineering and Sciences (ICES), The Center of Computational Oncology (CCO), The University of Texas at Austin.
  • Wohlmuth B; Technical University of Munich, Germany, Department of Mathematics, Chair of Numerical Mathematics (M2).
  • Shahmoradi A; Institute for Computational Engineering and Sciences (ICES), The Center of Computational Oncology (CCO), The University of Texas at Austin.
  • Hormuth DA; Institute for Computational Engineering and Sciences (ICES), The Center of Computational Oncology (CCO), The University of Texas at Austin.
  • Yankeelov TE; Institute for Computational Engineering and Sciences (ICES), The Center of Computational Oncology (CCO), The University of Texas at Austin.
  • Scarabosio L; Department of Biomedical Engineering, The University of Texas at Austin.
  • Horger T; Department of Internal Medicine, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin.
Comput Methods Appl Mech Eng ; 327: 277-305, 2017 Dec 01.
Article en En | MEDLINE | ID: mdl-29269963
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2017 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2017 Tipo del documento: Article