APA (7th ed.) Citation

Akbari, H., Rathore, S., Bakas, S., Nasrallah, M. P., Shukla, G., Mamourian, E., . . . Davatzikos, C. (2020). Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma. Cancer, 126(11), 2625-2636. https://doi.org/10.1002/cncr.32790

Chicago Style (17th ed.) Citation

Akbari, Hamed, et al. "Histopathology‐validated Machine Learning Radiographic Biomarker for Noninvasive Discrimination Between True Progression and Pseudo‐progression in Glioblastoma." Cancer 126, no. 11 (2020): 2625-2636. https://doi.org/10.1002/cncr.32790.

MLA (9th ed.) Citation

Akbari, Hamed, et al. "Histopathology‐validated Machine Learning Radiographic Biomarker for Noninvasive Discrimination Between True Progression and Pseudo‐progression in Glioblastoma." Cancer, vol. 126, no. 11, 2020, pp. 2625-2636, https://doi.org/10.1002/cncr.32790.