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Author

Jun-Jie Lian

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2 papers indexed here

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Open access Oct 2026

Pathology-guided multimodal transformer predicts postoperative survival benefit from adjuvant chemotherapy in glioma: from DNA damage repair to immune characterization

High-grade gliomas (HGGs) are aggressive primary brain tumors with high recurrence rates and poor prognosis. Survival benefit from adjuvant temozolomide (TMZ) varies substantially across patients, and reliable preoperative biomarkers for treatment stratification remain limited. This study aims to develop an interpr...

Ze-Hui Li, Xin Duan, Jun-Jie Lian et al. · 0 citations
Open access Sep 2026

Transformer-based decision support with CNN and ViT for prognostic risk stratification following adjuvant chemotherapy in high-grade glioma: a multicenter study.

BACKGROUND High-grade gliomas (HGGs) exhibit marked intratumoral heterogeneity, which is associated with variable survival outcomes among patients receiving standard adjuvant chemotherapy. Conventional methods relying on molecular biomarkers are constrained by technical limitations and tumor heterogeneity. This study a...

Ze-Hui Li, Xin Duan, Jun-Jie Lian et al. · 0 citations

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