APA (7th ed.) Citation

E, R., S, Y., S, S., Z, G., E, S., J, L., . . . F, K. (2026). Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification. European radiology experimental, 10(1), . https://doi.org/10.1186/s41747-026-00742-x

Chicago Style (17th ed.) Citation

E, Rama, Yu S, Schraven S, Gurberg Z, Savina E, Liu J, Magnuska ZA, Gremse F, and Kiessling F. "Validation of an Automated AI-based Micro-CT Organ Segmentation Workflow Against Expert Annotations and Its Impact on Fluorescence Quantification." European Radiology Experimental 10, no. 1 (2026). https://doi.org/10.1186/s41747-026-00742-x.

MLA (9th ed.) Citation

E, Rama, et al. "Validation of an Automated AI-based Micro-CT Organ Segmentation Workflow Against Expert Annotations and Its Impact on Fluorescence Quantification." European Radiology Experimental, vol. 10, no. 1, 2026, https://doi.org/10.1186/s41747-026-00742-x.