Miyuki Breen Breen, M., Villeneuve, D. L., Ankley, G. T., Bencic, D. C., Breen, M. S., Watanabe, K. H., … Conolly, R. B. (2013). Developing Predictive Approaches to Characterize Adaptive Responses of the Reproductive Endocrine Axis to Aromatase Inhibition: II. Computational Modeling. TOXICOLOGICAL SCIENCES, 133(2), 234–247. https://doi.org/10.1093/toxsci/kft067 Villeneuve, D. L., Breen, M., Bencic, D. C., Cavallin, J. E., Jensen, K. M., Makynen, E. A., … Ankley, G. T. (2013). Developing predictive approaches to characterize adaptive responses of the reproductive endocrine axis to Aromatase inhibition: I. Data generation in a small fish model. Toxicological Sciences, 133(2), 225–233. Breen, M., Breen, M. S., Terasaki, N., Yamazaki, M., Lloyd, A. L., & Conolly, R. B. (2011). Mechanistic Computational Model of Steroidogenesis in H295R Cells: Role of Oxysterols and Cell Proliferation to Improve Predictability of Biochemical Response to Endocrine Active Chemical-Metyrapone. TOXICOLOGICAL SCIENCES, 123(1), 80–93. https://doi.org/10.1093/toxsci/kfr167 Nichols, J. W., Breen, M., Denver, R. J., Distefano, J. J., Edwards, J. S., Hoke, R. A., … Zhang, X. W. (2011). Predicting chemical impacts on vertebrate endocrine systems. Environmental Toxicology and Chemistry, 30(1), 39–51. Breen, M. S., Breen, M., Terasaki, N., Yamazaki, M., & Conolly, R. B. (2010). Computational model of steroidogenesis in humanH295R cells to predict biochemical response to endocrine-active chemicals: Model development for metyrapone. Environmental Health Perspectives, 118(2), 265–272. Breen, M. S., Breen, M., Williams, R. W., & Schultz, B. D. (2010). Predicting Residential Air Exchange Rates from Questionnaires and Meteorology: Model Evaluation in Central North Carolina. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 44(24), 9349–9356. https://doi.org/10.1021/es101800k Breen, M. S., Breen, M., Butts, K., Chen, L., Saidel, G. M., & Wilson, D. L. (2007). MRI-guided thermal ablation therapy: Model and parameter estimates to predict cell death from MR thermometry images. ANNALS OF BIOMEDICAL ENGINEERING, 35(8), 1391–1403. https://doi.org/10.1007/s10439-007-9300-3