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Author

K. Amador

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Open access Sep 2026

Optimizing MRI sequence selection for glioma classification: a radiomics-based analysis of WHO CNS grade, final pathological diagnosis, and IDH status.

BACKGROUND Multi-sequence MRI protocols for glioma classification are resource-intensive, prompting the need to identify optimal, potentially reduced imaging protocols. PURPOSE To evaluate the diagnostic utility of individual MRI sequences (ASL, DWI, FLAIR, SWI, T1w, T2w) for classifying WHO CNS grade (II, III, IV),...

K. Amador, H. Kniep, J. Fiehler et al. · 0 citations
Open access Jul 2026

Age-stratified multimodal MRI and machine learning to explore autism-related brain characteristics in youth

The findings indicate that multimodal classifiers integrating complementary structural, microstructural, and functional imaging features result in a more comprehensive representation of brain features that strengthens model performance.

Garazi Casillas Martinez, Anthony J. Winder, K. Amador et al. · 0 citations

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