APA (7th ed.) Citation

P, F., F, F., J, K., P, L., P, P., H, Z., . . . N, G. H. (2022). Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study. European radiology, 32(5), 2901. https://doi.org/10.1007/s00330-021-08419-2

Chicago Style (17th ed.) Citation

P, Fervers, Fervers F, Kottlors J, Lohneis P, Pollman-Schweckhorst P, Zaytoun H, Rinneburger M, Maintz D, and Große Hokamp N. "Feasibility of Artificial Intelligence-supported Assessment of Bone Marrow Infiltration Using Dual-energy Computed Tomography in Patients with Evidence of Monoclonal Protein - a Retrospective Observational Study." European Radiology 32, no. 5 (2022): 2901. https://doi.org/10.1007/s00330-021-08419-2.

MLA (9th ed.) Citation

P, Fervers, et al. "Feasibility of Artificial Intelligence-supported Assessment of Bone Marrow Infiltration Using Dual-energy Computed Tomography in Patients with Evidence of Monoclonal Protein - a Retrospective Observational Study." European Radiology, vol. 32, no. 5, 2022, p. 2901, https://doi.org/10.1007/s00330-021-08419-2.