Efficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting.
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| Title: | Efficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting. |
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| Authors: | Stammer P; Karlsruhe Institute of Technology, Steinbuch Centre for Computing, Karlsruhe, Germany.; German Cancer Research Center-DKFZ, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany.; HIDSS4Health-Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany., Burigo L; German Cancer Research Center-DKFZ, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany.; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany., Jäkel O; German Cancer Research Center-DKFZ, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany.; HIDSS4Health-Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany.; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany.; Heidelberg Ion Beam Therapy Center-HIT, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany., Frank M; Karlsruhe Institute of Technology, Steinbuch Centre for Computing, Karlsruhe, Germany.; HIDSS4Health-Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany., Wahl N; German Cancer Research Center-DKFZ, Department of Medical Physics in Radiation Oncology, Heidelberg, Germany.; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany. |
| Source: | Physics in medicine and biology [Phys Med Biol] 2021 Oct 07; Vol. 66 (20). Date of Electronic Publication: 2021 Oct 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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