Results

eNauka >  Results >  Individualized Prediction of Meningioma Response to Gamma Knife Radiosurgery Using Nested Consensus Machine Learning with 3D Fractal, Lacunarity and Radiomic Features from MRI
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, Herwin; Radulovic, Marko; Gonzalez, Ivan; Hernandez, Giancarlo; Bido, Jose; Rivera, Diones; Suazo, Luis; Valenzuela, Santiago; Peralta, Ismael; Paulino, Jeffrey;
Bernard, Teuddis; Ramirez, Issael; Stoeter, Peter; Vranes, Velicko;
Issue Date: 2026
Publication: FRACTAL AND FRACTIONAL
ISSN: 2504-3110 Fractal and Fractional Search Idenfier
Type: Article
Collation: vol. 10 br. 6 str. 357-357
DOI: 10.3390/fractalfract10060357
WoS-ID: 001803470400001
Scopus-ID: 2-s2.0-105042896613
URI: https://enauka.gov.rs/handle/123456789/1047087
Project: Instituto Tecnologico de Santo Domingo (INTEC) [CBA-220903-2024-P-1]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21aM21a

Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.