APA (7th ed.) Citation

Fathi Kazerooni, A., Saxena, S., Toorens, E., Tu, D., Bashyam, V., Akbari, H., . . . Davatzikos, C. (2022). Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma. Scientific reports, 12(1), 8784-13. https://doi.org/10.1038/s41598-022-12699-z

Chicago Style (17th ed.) Citation

Fathi Kazerooni, Anahita, et al. "Clinical Measures, Radiomics, and Genomics Offer Synergistic Value in AI-based Prediction of Overall Survival in Patients with Glioblastoma." Scientific Reports 12, no. 1 (2022): 8784-13. https://doi.org/10.1038/s41598-022-12699-z.

MLA (9th ed.) Citation

Fathi Kazerooni, Anahita, et al. "Clinical Measures, Radiomics, and Genomics Offer Synergistic Value in AI-based Prediction of Overall Survival in Patients with Glioblastoma." Scientific Reports, vol. 12, no. 1, 2022, pp. 8784-13, https://doi.org/10.1038/s41598-022-12699-z.