David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation


Journal article


D. Hormuth, K. A. Al Feghali, A. Elliott, T. Yankeelov, C. Chung
Scientific Reports, 2021

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Hormuth, D., Feghali, K. A. A., Elliott, A., Yankeelov, T., & Chung, C. (2021). Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation. Scientific Reports.


Chicago/Turabian   Click to copy
Hormuth, D., K. A. Al Feghali, A. Elliott, T. Yankeelov, and C. Chung. “Image-Based Personalization of Computational Models for Predicting Response of High-Grade Glioma to Chemoradiation.” Scientific Reports (2021).


MLA   Click to copy
Hormuth, D., et al. “Image-Based Personalization of Computational Models for Predicting Response of High-Grade Glioma to Chemoradiation.” Scientific Reports, 2021.


BibTeX   Click to copy

@article{d2021a,
  title = {Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation},
  year = {2021},
  journal = {Scientific Reports},
  author = {Hormuth, D. and Feghali, K. A. Al and Elliott, A. and Yankeelov, T. and Chung, C.}
}


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