David A. Hormuth, II

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

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data12


Journal article


Angela M. Jarrett, D. Hormuth, Chengyue Wu, Anum S Kazerouni, David A. Ekrut, J. Virostko, A. Sorace, J. DiCarlo, J. Kowalski, D. Patt, B. Goodgame, Sarah Avery, T. Yankeelov
Neoplasia, 2020

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Jarrett, A. M., Hormuth, D., Wu, C., Kazerouni, A. S., Ekrut, D. A., Virostko, J., … Yankeelov, T. (2020). Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data12. Neoplasia.


Chicago/Turabian   Click to copy
Jarrett, Angela M., D. Hormuth, Chengyue Wu, Anum S Kazerouni, David A. Ekrut, J. Virostko, A. Sorace, et al. “Evaluating Patient-Specific Neoadjuvant Regimens for Breast Cancer via a Mathematical Model Constrained by Quantitative Magnetic Resonance Imaging data12.” Neoplasia (2020).


MLA   Click to copy
Jarrett, Angela M., et al. “Evaluating Patient-Specific Neoadjuvant Regimens for Breast Cancer via a Mathematical Model Constrained by Quantitative Magnetic Resonance Imaging data12.” Neoplasia, 2020.


BibTeX   Click to copy

@article{angela2020a,
  title = {Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data12},
  year = {2020},
  journal = {Neoplasia},
  author = {Jarrett, Angela M. and Hormuth, D. and Wu, Chengyue and Kazerouni, Anum S and Ekrut, David A. and Virostko, J. and Sorace, A. and DiCarlo, J. and Kowalski, J. and Patt, D. and Goodgame, B. and Avery, Sarah and Yankeelov, T.}
}


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