Author

Xiao-Chun Wang

3 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. · Frontiers in Immunology · 0 citations

Open access Sep 2026

Integrating Multimodal MRI Habitat and Transformer‐Based Pathomics to Predict High‐Risk Molecular Subtypes and Explore Biological Mechanisms in Adult Diffuse Gliomas

ABSTRACT Background This study aims to achieve accurate prediction of high‐risk molecular subtypes of gliomas through a cross‐scale Combined model, matching the model's classification metrics with patient risk stratification and exploring the underlying biological mechanisms. Methods This study retrospectively collecte...

Wen-Ju Niu, Xin Duan, Xuan Li et al. · CNS Neuroscience & Therapeut... · 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. · Computer Methods and Program... · 0 citations