Optimizing Chemoradiotherapy to Target Metastatic Disease and Tumor Growth-Reference-Cited by-同舟云学术

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Optimizing Chemoradiotherapy to Target Metastatic Disease and Tumor Growth

Published:2018-05 Issue:2 Volume:30 Page:259-277
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Badri Hamidreza¹,Salari Ehsan²,Watanabe Yoichi³,Leder Kevin⁴^ORCID

Affiliation:

1. EDABI, Target Corporation, Minneapolis, Minnesota 55402

2. Department of Industrial and Manufacturing Engineering, Wichita State University, Wichita, Kansas 67260

3. Department of Radiation Oncology, University of Minnesota, Minneapolis, Minnesota 55455

4. Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota 55455

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference59 articles.

1. Minimizing metastatic risk in radiotherapy fractionation schedules

2. Optimal radiotherapy dose schedules under parametric uncertainty

3. Optimization of radiation dosing schedules for proneural glioblastoma

4. Optimization of Radiation Therapy Fractionation Schedules in the Presence of Tumor Repopulation

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. Optimizing multi-modal cancer treatment under 3D spatio-temporal tumor growth;Mathematical Biosciences;2019-01

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