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Selected Publications:

  1. Ventoso, M. and Norton, K. A. 2020. “Simulating an Immune Response with a Combined Agent-Based Model of a Triple-Negative Breast Cancer Tumor and Vascular Network,” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020, pp. 1303-1310.
  2. Norton, K.A., Gong, C., Jamalian, S. and Popel, A.S. 2019. “Multiscale agent-based and hybrid modeling of the tumor immune microenvironment.” Processes, 7(1), 37.
  3. Gkontra, P., El‐Bouri, W.K., Norton, K.A., Santos, A., Popel, A.S., Payne, S.J. and Arroyo, A.G., 2019. “Dynamic Changes in Microvascular Flow Conductivity and Perfusion After Myocardial Infarction Shown by Image‐Based Modeling.” Journal of the American Heart Association, 8(7), e011058.
  4. Norton, K., Jin, K., and Popel, A.S. 2018. “Modeling triple-negative breast cancer heterogeneity: Effects of stromal macrophages, fibroblasts and tumor vasculature.” Journal of Theoretical Biology. 452, pp. 56-68.
  5. Gkontra, P., Norton, K., Zak, M.,  Clemente, C., Agüero, J., Ibáñez, B.,  Santos, A., Popel, A.S., and Arroyo, A.G. 2018. “Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis.” Scientific Reports. 8(1), 1854.
  6. Norton, K., Pandey, N., Wallace, T. and Popel, A.S. 2017. “An agent-based model of triple-negative breast cancer: the interplay between chemokine receptor CCR5 expression, cancer stem cells, and hypoxia.” BMC Sys Bio. 11(1), 68.
  7. Norton, K., and Popel, A.S. 2016. “Effects of endothelial cell proliferation and migration rates in a computational model of sprouting angiogenesis.” Scientific Reports. 6, 36992.
  8. Norton, KA, Popel, AS, Pandey, NB. 2015. “Heterogeneity of chemokine cell-surface receptor expression in triple-negative breast cancer.” Am J Cancer Res. 5(4), pp. 1295-1307.
  9. Norton, K., Han, Z., Popel, A.S., and Pandey, N. 2014. “Antiangiogenic cancer drug sunitinib exhibits unexpected proangiogenic effects on endothelial cells.” OncoTargets and Therapy. 2014:7, pp 1571-1582.
  10. Norton, K. and Popel, A.S. 2014. “An Agent-Based Model of Cancer Stem Cell initiated Tumor Growth and Metastasis: the Effect of Seeding Frequency and Location.” Journal of the Royal Society Interface. 11(100), 20140640.
  11. Norton, K., Namazi, S., Barnard, N., Fujibayashi, M., Bhanot, G., Ganesan, S., Iyatomi, H., Ogawa, K., & Shinbrot, T. 2012. “Automated Reconstruction algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ.” PLoS One. 7(9), e44011.
  12. Norton, K., Iyatomi, H., Celebi, M.E., Ishizaki, S., Sawada, M., Suzaki, R., Kobayashi, K., Tanaka, M., & Ogawa, K. 2012. “Three-Phase General Border Detection Method for Dermoscopy Images Using Non-uniform Illumination Correction.” Skin Research and Technology, 18(3), pp. 290-300.
  13. Norton, K., Wininger, M., Bhanot, G., Ganesan, S., Barnard, N., and Shinbrot, T. 2010. “A 2D Mechanistic Model of Breast Ductal Carcinoma in Situ (DCIS) Morphology and Progression.” Journal of Theoretical Biology. 263, pp. 393-406.


  • Gevertz, J., Aminzare, Z., Norton, K., Perez-Velazquez, J., Volkening, A., and Rejniak, K. 2014. “Emergence Of Anti-Cancer Drug Resistance: Exploring The Importance Of The Microenvironmental Niche Via A Spatial Model.” chapter of the book “Applications of Dynamical Systems in Biology and Medicine”, edited by A. Radunskaya and T. Jackson, IMA Volumes in Mathematics and Its Applications, Springer-Verlag.