PH, L., MO, O., KY, P., B, L., D, D., GT, V., . . . EC, L. (2024). Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning. Journal of neuro-oncology, 169(1), 175. https://doi.org/10.1007/s11060-024-04715-1
Chicago Style (17th ed.) CitationPH, Luckett, et al. "Predicting Post-surgical Functional Status in High-grade Glioma with Resting State FMRI and Machine Learning." Journal of Neuro-oncology 169, no. 1 (2024): 175. https://doi.org/10.1007/s11060-024-04715-1.
MLA (9th ed.) CitationPH, Luckett, et al. "Predicting Post-surgical Functional Status in High-grade Glioma with Resting State FMRI and Machine Learning." Journal of Neuro-oncology, vol. 169, no. 1, 2024, p. 175, https://doi.org/10.1007/s11060-024-04715-1.