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Personalized in silico model for radiation-induced pulmonary fibrosis | (source code, simulation input+output data)

Authors: Vavourakis, Vasileios; Ioannou, Eleftherios;

Personalized in silico model for radiation-induced pulmonary fibrosis | (source code, simulation input+output data)

Abstract

This repository concerns the supplementary material data of the research article entitled "Personalised in silico model for radiation-induced pulmonary fibrosis" that is published in the Royal Society Interface journal (rsif.royalsocietypublishing.org). More specifically, the repository contains the source code of the radiation-induced pulmonary fibrosis simulator, the results produced from the medical image analysis of this study (CT scans and RT dosage maps) for each patient case, the input files necessary to run the simulator and the corresponding output produced respectively. Each patient ID corresponds to each case documented in the research article.

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Keywords

in silico model, FEM, Mathematical model, pulmonary fibrosis, finite element, Simulation software, cancer, Lung cancer, lung injury, simulation, lung carcinoma

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    popularity
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Related to Research communities
Cancer Research