APA (7th ed.) Citation

CA, R., S, B., AA, M., LC, D., MA, M., SA, S., . . . AH, S. (2024). Metabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning. Journal of neuro-oncology, 170(3), 579. https://doi.org/10.1007/s11060-024-04812-1

Chicago Style (17th ed.) Citation

CA, Rivera, et al. "Metabolic Signatures Derived from Whole-brain MR-spectroscopy Identify Early Tumor Progression in High-grade Gliomas Using Machine Learning." Journal of Neuro-oncology 170, no. 3 (2024): 579. https://doi.org/10.1007/s11060-024-04812-1.

MLA (9th ed.) Citation

CA, Rivera, et al. "Metabolic Signatures Derived from Whole-brain MR-spectroscopy Identify Early Tumor Progression in High-grade Gliomas Using Machine Learning." Journal of Neuro-oncology, vol. 170, no. 3, 2024, p. 579, https://doi.org/10.1007/s11060-024-04812-1.