Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making-Reference-Cited by-同舟云学术

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Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making

Published:2024-10 Issue:4 Volume:34 Page:379-394
ISSN:1053-4296
Container-title:Seminars in Radiation Oncology
language:en
Short-container-title:Seminars in Radiation Oncology

Author:

Deasy Joseph O.

Publisher

Elsevier BV

Reference208 articles.

1. Tumor heterogeneity: causes and consequences;Marusyk;Biochim Biophys Acta,2010

2. Mathematical models for cell migration: a non-local perspective;Chen;Philos Trans R Soc Lond B Biol Sci,2020

3. Modes of invasion during tumour dissemination;Pandya;Mol Oncol,2017

4. Mechanobiology of tumor invasion: engineering meets oncology;Carey;Crit Rev Oncol Hematol,2012

5. High neutrophil-to-lymphocyte ratio following stereotactic body radiation therapy is associated with poor clinical outcomes in patients with borderline resectable and locally advanced pancreatic cancer;Reddy;J Gastrointest Oncol,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pursuing New Horizons With New Collaborators: This Is the Future of Radiation Oncology;Seminars in Radiation Oncology;2024-10

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