Cite

APA
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
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
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.