Morphodynamic Modeling of Glioblastoma Using 3D Autoencoders and Neural Ordinary Differential Equations: Identification of Morphological Attractors and Dynamic Phase Maps

Background: Glioblastoma (GBM) is among the most aggressive and morphologically heterogeneous brain tumors. Beyond static imaging biomarkers, its structural organization can be viewed as a nonlinear dynamical system. Characterizing morphodynamic attractors within such a system may reveal latent stab...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Monica Molcăluț, Călin Gheorghe Buzea, Diana Mirilă, Florin Nedeff, Valentin Nedeff, Lăcrămioara Ochiuz, Maricel Agop, Dragoș Teodor Iancu
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-12-01
Σειρά:	Fractal and Fractional
Θέματα:	glioblastoma morphodynamics neural ordinary differential equations autoencoder fractal dimension Lyapunov exponent
Διαθέσιμο Online:	https://www.mdpi.com/2504-3110/10/1/8
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