APA (7th ed.) Citation

Speckter, H., Radulovic, M., Gonzalez, I., Hernandez, G., Bido, J., Rivera, D., . . . Vranes, V. (2026). Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI. Fractal & Fractional, 10(6), 357. https://doi.org/10.3390/fractalfract10060357

Chicago Style (17th ed.) Citation

Speckter, Herwin, et al. "Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI." Fractal & Fractional 10, no. 6 (2026): 357. https://doi.org/10.3390/fractalfract10060357.

MLA (9th ed.) Citation

Speckter, Herwin, et al. "Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI." Fractal & Fractional, vol. 10, no. 6, 2026, p. 357, https://doi.org/10.3390/fractalfract10060357.