David A. Hormuth, II

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

Abstract 5485: Patient-specific neoadjuvant regimens for breast cancer identifiedviaimage-driven mathematical modeling


Journal article


Angela M. Jarrett, E. Lima, D. Hormuth, Chengyue Wu, J. Virostko, A. Sorace, J. DiCarlo, D. Patt, B. Goodgame, Sarah Avery, T. Yankeelov
2020

Semantic Scholar DOI
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APA   Click to copy
Jarrett, A. M., Lima, E., Hormuth, D., Wu, C., Virostko, J., Sorace, A., … Yankeelov, T. (2020). Abstract 5485: Patient-specific neoadjuvant regimens for breast cancer identifiedviaimage-driven mathematical modeling.


Chicago/Turabian   Click to copy
Jarrett, Angela M., E. Lima, D. Hormuth, Chengyue Wu, J. Virostko, A. Sorace, J. DiCarlo, et al. “Abstract 5485: Patient-Specific Neoadjuvant Regimens for Breast Cancer Identifiedviaimage-Driven Mathematical Modeling” (2020).


MLA   Click to copy
Jarrett, Angela M., et al. Abstract 5485: Patient-Specific Neoadjuvant Regimens for Breast Cancer Identifiedviaimage-Driven Mathematical Modeling. 2020.


BibTeX   Click to copy

@article{angela2020a,
  title = {Abstract 5485: Patient-specific neoadjuvant regimens for breast cancer identifiedviaimage-driven mathematical modeling},
  year = {2020},
  journal = {},
  author = {Jarrett, Angela M. and Lima, E. and Hormuth, D. and Wu, Chengyue and Virostko, J. and Sorace, A. and DiCarlo, J. and Patt, D. and Goodgame, B. and Avery, Sarah and Yankeelov, T.}
}


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