APA (7th ed.) Citation

M, G., C, D., L, H., H, C., C, C., & A, V. (2026). Optimization of hypovascular liver lesion detectability in dual-energy CT using deep learning image reconstruction: A phantom study for potential iodine dose reduction. European radiology experimental, 10(1), . https://doi.org/10.1186/s41747-026-00759-2

Chicago Style (17th ed.) Citation

M, Gulizia, Dromain C, Haefliger L, Chettab H, Chevallier C, and Viry A. "Optimization of Hypovascular Liver Lesion Detectability in Dual-energy CT Using Deep Learning Image Reconstruction: A Phantom Study for Potential Iodine Dose Reduction." European Radiology Experimental 10, no. 1 (2026). https://doi.org/10.1186/s41747-026-00759-2.

MLA (9th ed.) Citation

M, Gulizia, et al. "Optimization of Hypovascular Liver Lesion Detectability in Dual-energy CT Using Deep Learning Image Reconstruction: A Phantom Study for Potential Iodine Dose Reduction." European Radiology Experimental, vol. 10, no. 1, 2026, https://doi.org/10.1186/s41747-026-00759-2.