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Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities.
Yan J, Zhao Y, Chen Y, Wang W, Duan W, Wang L, Zhang S, Ding T, Liu L, Sun Q, Pei D, Zhan Y, Zhao H, Sun T, Sun C, Wang W, Liu Z, Hong X, Wang X, Guo Y, Li W, Cheng J, Liu X, Lv X, Li ZC, Zhang Z. Yan J, et al. Among authors: zhao h, zhao y. EBioMedicine. 2021 Oct;72:103583. doi: 10.1016/j.ebiom.2021.103583. Epub 2021 Sep 24. EBioMedicine. 2021. PMID: 34563923 Free PMC article. Clinical Trial.
Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma.
Yan J, Liu L, Wang W, Zhao Y, Li KK, Li K, Wang L, Yuan B, Geng H, Zhang S, Liu Z, Duan W, Zhan Y, Pei D, Zhao H, Sun T, Sun C, Wang W, Hong X, Wang X, Guo Y, Li W, Cheng J, Liu X, Ng HK, Li Z, Zhang Z. Yan J, et al. Among authors: zhao h, zhao y. Front Oncol. 2020 Oct 2;10:558162. doi: 10.3389/fonc.2020.558162. eCollection 2020. Front Oncol. 2020. PMID: 33117690 Free PMC article.
Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study.
Yan J, Sun Q, Tan X, Liang C, Bai H, Duan W, Mu T, Guo Y, Qiu Y, Wang W, Yao Q, Pei D, Zhao Y, Liu D, Duan J, Chen S, Sun C, Wang W, Liu Z, Hong X, Wang X, Guo Y, Xu Y, Liu X, Cheng J, Li ZC, Zhang Z. Yan J, et al. Among authors: zhao y. Eur Radiol. 2023 Feb;33(2):904-914. doi: 10.1007/s00330-022-09066-x. Epub 2022 Aug 24. Eur Radiol. 2023. PMID: 36001125
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