Speckter, H.; Radulovic, M.; Gonzalez, I.; Hernandez, G.; Bido, J.; Rivera, D.; Suazo, L.; Valenzuela, S.; Peralta, I.; Paulino, J.;
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 Fract. 2026, 10, 357.
https://doi.org/10.3390/fractalfract10060357
AMA Style
Speckter H, Radulovic M, Gonzalez I, Hernandez G, Bido J, Rivera D, Suazo L, Valenzuela S, Peralta I, Paulino J,
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 and Fractional. 2026; 10(6):357.
https://doi.org/10.3390/fractalfract10060357
Chicago/Turabian Style
Speckter, Herwin, Marko Radulovic, Ivan Gonzalez, Giancarlo Hernandez, Jose Bido, Diones Rivera, Luis Suazo, Santiago Valenzuela, Ismael Peralta, Jeffrey Paulino,
and et al. 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 and Fractional 10, no. 6: 357.
https://doi.org/10.3390/fractalfract10060357
APA Style
Speckter, H., Radulovic, M., Gonzalez, I., Hernandez, G., Bido, J., Rivera, D., Suazo, L., Valenzuela, S., Peralta, I., Paulino, J., Bernard, T., Ramirez, I., Stoeter, P., & 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 and Fractional, 10(6), 357.
https://doi.org/10.3390/fractalfract10060357
