Žádný přesný výsledek pro MSc, Daniel Uher, nebyl nalezen, zkusme místo něj použít MSc Daniel Uher ...
Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.10 vteřin. 
Graph Neural Networks in Epilepsy Surgery
Hrtoňová, Valentina ; MSc, Daniel Uher, (oponent) ; Filipenská, Marina (vedoucí práce)
Successful epilepsy surgery relies on precise localization of the epileptogenic zone (EZ), yet only about 60% of patients become seizure-free post-surgery often due to inaccurate EZ identification. This thesis presents a novel method for EZ localization using Graph Neural Networks (GNNs) to analyze interictal biomarkers, specifically interictal spikes and relative entropy. The GNN models were used to localize resected seizure-onset zone electrode contacts based on interictal stereoelectroencephalography data, validated on a clinical dataset of 37 patients from two institutions. The best-performing GNN model - Graph Attention Network - scored a median Area Under the Receiver Operating Characteristic (AUROC) of 0.971 and a median Area Under the Precision-Recall Curve (AUPRC) of 0.525 across a cohort of 19 patients with a good surgical outcome, significantly outperforming a benchmark model based on spike rates (Wilcoxon Signed Rank test, p

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.