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Molecular Biomedicine|May 7, 2025
MRI-based machine learning reveals proteasome subunit PSMB8-mediated malignant glioma phenotypes through activating TGFBR1/2-SMAD2/3 axisDongling Pei, Zeyu Ma, Yuning Qiu, et al.
Journal of Translational Medicine|November 23, 2023
Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastomaFangzhan Guan, Zilong Wang, Yuning Qiu, et al.
Cancer Science|January 27, 2024
Radiomic profiling for insular diffuse glioma stratification with distinct biologic pathway activitiesWenchao Duan, Zilong Wang, Zeyu Ma, et al.
CNS Neuroscience & Therapeutics|May 24, 2023
Diffusion tensor imaging-based machine learning for IDH wild-type glioblastoma stratification to reveal the biological underpinning of radiomic featuresZilong Wang, Fangzhan Guan, Wenchao Duan, et al.
CNS Neuroscience & Therapeutics|April 12, 2024
Nuclear autoantigenic sperm protein facilitates glioblastoma progression and radioresistance by regulating the ANXA2/STAT3 axisYuning Qiu, Dongling Pei, Minkai Wang, et al.
Cell Research|September 3, 2025
Targeting necrotic lipid release in tumors enhances immunosurveillance and cancer immunotherapy of glioblastomaYapeng Ji, Junyao Jiang, Lei Hu, et al.
European Radiology|February 28, 2023
Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomasDongling Pei, Fangzhan Guan, Xuanke Hong, et al.
BMC Cancer|September 11, 2023
Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomasZhen Liu, Xuanke Hong, Linglong Wang, et al.
Iscience|January 23, 2025
IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associationsXiaotao Wang, Zilong Wang, Weiwei Wang, et al.
Nature Communications|October 11, 2023
Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological imagesWeiwei Wang, Yuanshen Zhao, Lianghong Teng, et al.
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