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Author

Xue-Xia Mao

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Open access Aug 2026

Radiomics-guided multimodal MRI fusion framework for non-enhanced glioblastoma noninvasive identification

This study aimed to develop and externally validate a radiomics-based machine learning framework for the noninvasive differentiation of non-enhanced glioblastoma (NE-GBM) from astrocytoma, IDH-mutant, grade 2 (IDHm-A2), thereby addressing the diagnostic limitations of qualitative MRI and the challenge of data scarcity....

Shuai Liu, Xue-Xia Mao, Xing Liu et al. · 0 citations
Review Open access Jul 2026

Beyond visual inspection: the deep learning revolution in quantitative cerebrovascular imaging

The rising global burden of cerebrovascular disease, propelled by an aging population, highlights the inherent limitations of conventional, labor-intensive diagnostic paradigms. In the context of time-sensitive stroke management, variability in image interpretation and the high rate of misclassification, particularly d...

Xue-Xia Mao, Huajun Yang, Shiwen Weng et al. · 0 citations

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