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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.
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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  Data: <searchLink fieldCode="JN" term="%22Fractal+%26+Fractional%22">Fractal & Fractional</searchLink>. Jun2026, Vol. 10 Issue 6, p357. 19p.
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        Value: 10.3390/fractalfract10060357
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        Text: English
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              Text: Jun2026
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