APA   Click to copy
Lorenzo, G., Hormuth II, D. A., Jarrett, A. M., Lima, E. A. B. F., Subramanian, S., Biros, G., … Yankeelov, T. E. (2022). Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. In I. I. Balaz & A. Adamatzky (Eds.), Cancer, Complexity, Computation (pp. 55–97). Springer.

Chicago/Turabian   Click to copy
Lorenzo, Guillermo, David A Hormuth II, Angela M Jarrett, Ernesto ABF Lima, Shashank Subramanian, George Biros, J Tinsley Oden, Thomas JR Hughes, and Thomas E Yankeelov. “Quantitative in Vivo Imaging to Enable Tumor Forecasting and Treatment Optimization.” In Cancer, Complexity, Computation, edited by In: Igor Balaz and Andrew Adamatzky, 55–97. Springer, 2022.

MLA   Click to copy
Lorenzo, Guillermo, et al. “Quantitative in Vivo Imaging to Enable Tumor Forecasting and Treatment Optimization.” Cancer, Complexity, Computation, edited by In: Igor Balaz and Andrew Adamatzky, Springer, 2022, pp. 55–97.

@inbook{lorenzo2022a,
  title = {Quantitative in vivo imaging to enable tumor forecasting and treatment optimization},
  year = {2022},
  pages = {55-97},
  publisher = {Springer},
  author = {Lorenzo, Guillermo and Hormuth II, David A and Jarrett, Angela M and Lima, Ernesto ABF and Subramanian, Shashank and Biros, George and Oden, J Tinsley and Hughes, Thomas JR and Yankeelov, Thomas E},
  editor = {Balaz, In: Igor and Adamatzky, Andrew},
  booktitle = {Cancer, Complexity, Computation}
}