David A. Hormuth, II

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

Abstract 3138: Identification of therapy-sensitive tumor phenotypes using quantitative MRI habitats in a preclinical model of HER2+ breast cancer


Journal article


Anum S Kazerouni, D. Hormuth, Tessa Davis, Meghan J. Bloom, J. Virostko, T. Yankeelov, A. Sorace
Tumor Biology, 2021

Semantic Scholar DOI
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APA   Click to copy
Kazerouni, A. S., Hormuth, D., Davis, T., Bloom, M. J., Virostko, J., Yankeelov, T., & Sorace, A. (2021). Abstract 3138: Identification of therapy-sensitive tumor phenotypes using quantitative MRI habitats in a preclinical model of HER2+ breast cancer. Tumor Biology.


Chicago/Turabian   Click to copy
Kazerouni, Anum S, D. Hormuth, Tessa Davis, Meghan J. Bloom, J. Virostko, T. Yankeelov, and A. Sorace. “Abstract 3138: Identification of Therapy-Sensitive Tumor Phenotypes Using Quantitative MRI Habitats in a Preclinical Model of HER2+ Breast Cancer.” Tumor Biology (2021).


MLA   Click to copy
Kazerouni, Anum S., et al. “Abstract 3138: Identification of Therapy-Sensitive Tumor Phenotypes Using Quantitative MRI Habitats in a Preclinical Model of HER2+ Breast Cancer.” Tumor Biology, 2021.


BibTeX   Click to copy

@article{anum2021a,
  title = {Abstract 3138: Identification of therapy-sensitive tumor phenotypes using quantitative MRI habitats in a preclinical model of HER2+ breast cancer},
  year = {2021},
  journal = {Tumor Biology},
  author = {Kazerouni, Anum S and Hormuth, D. and Davis, Tessa and Bloom, Meghan J. and Virostko, J. and Yankeelov, T. and Sorace, A.}
}


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