Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI.
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| Title: | Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI. |
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| Authors: | Speckter, Herwin1,2,3 (AUTHOR), Radulovic, Marko2,3,4 (AUTHOR) marko.radulovic@ncrc.ac.rs, Gonzalez, Ivan1,3 (AUTHOR), Hernandez, Giancarlo1,4 (AUTHOR), Bido, Jose1 (AUTHOR), Rivera, Diones1,2 (AUTHOR), Suazo, Luis1,3 (AUTHOR), Valenzuela, Santiago1,4 (AUTHOR), Peralta, Ismael1 (AUTHOR), Paulino, Jeffrey1 (AUTHOR), Bernard, Teuddis1 (AUTHOR), Ramirez, Issael1 (AUTHOR), Stoeter, Peter1,2 (AUTHOR), Vranes, Velicko3 (AUTHOR) |
| Source: | Fractal & Fractional. Jun2026, Vol. 10 Issue 6, p357. 19p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 25043110 |
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| DOI: | 10.3390/fractalfract10060357 |
