Cite
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO).
MLA
Bell, Laura C., et al. “Evaluating Multisite RCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO).” Tomography (Ann Arbor, Mich.), vol. 5, no. 1, Mar. 2019, pp. 110–17. EBSCOhost, https://doi.org/10.18383/j.tom.2018.00041.
APA
Bell, L. C., Semmineh, N., An, H., Eldeniz, C., Wahl, R., Schmainda, K. M., Prah, M. A., Erickson, B. J., Korfiatis, P., Wu, C., Sorace, A. G., Yankeelov, T. E., Rutledge, N., Chenevert, T. L., Malyarenko, D., Liu, Y., Brenner, A., Hu, L. S., Zhou, Y., … Quarles, C. C. (2019). Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography (Ann Arbor, Mich.), 5(1), 110–117. https://doi.org/10.18383/j.tom.2018.00041
Chicago
Bell, Laura C, Natenael Semmineh, Hongyu An, Cihat Eldeniz, Richard Wahl, Kathleen M Schmainda, Melissa A Prah, et al. 2019. “Evaluating Multisite RCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO).” Tomography (Ann Arbor, Mich.) 5 (1): 110–17. doi:10.18383/j.tom.2018.00041.