David A. Hormuth, II

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

Abstract 222: Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-based fluid dynamics


Journal article


Chengyue Wu, D. Hormuth, F. Pineda, G. Karczmar, T. Yankeelov
Bioinformatics and Systems Biology, 2021

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APA   Click to copy
Wu, C., Hormuth, D., Pineda, F., Karczmar, G., & Yankeelov, T. (2021). Abstract 222: Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-based fluid dynamics. Bioinformatics and Systems Biology.


Chicago/Turabian   Click to copy
Wu, Chengyue, D. Hormuth, F. Pineda, G. Karczmar, and T. Yankeelov. “Abstract 222: Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Based Fluid Dynamics.” Bioinformatics and Systems Biology (2021).


MLA   Click to copy
Wu, Chengyue, et al. “Abstract 222: Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Based Fluid Dynamics.” Bioinformatics and Systems Biology, 2021.


BibTeX   Click to copy

@article{chengyue2021a,
  title = {Abstract 222: Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-based fluid dynamics},
  year = {2021},
  journal = {Bioinformatics and Systems Biology},
  author = {Wu, Chengyue and Hormuth, D. and Pineda, F. and Karczmar, G. and Yankeelov, T.}
}


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