HiPerfGNN integrates VQ-VAE-derived perfusion codes into hierarchical graphs with structural MRI to predict IDH mutation (AUC 0.96 internal, 0.89 external), 1p/19q codeletion, and WHO grade on cohorts of 475 and 397 patients.
Scientific reports5(1), 16238 (2015)
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Hierarchical Perfusion Graphs for Tumor Heterogeneity Modeling in Glioma Molecular Subtyping
HiPerfGNN integrates VQ-VAE-derived perfusion codes into hierarchical graphs with structural MRI to predict IDH mutation (AUC 0.96 internal, 0.89 external), 1p/19q codeletion, and WHO grade on cohorts of 475 and 397 patients.