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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. Front Oncol. 2020 Oct 2;10:558162. doi: 10.3389/fonc.2020.558162. eCollection 2020. Front Oncol. 2020. PMID: 33117690 Free PMC article.
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. 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.
Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study.
Yan J, Zhang S, Sun Q, Wang W, Duan W, Wang L, Ding T, Pei D, Sun C, Wang W, Liu Z, Hong X, Wang X, Guo Y, Li W, Cheng J, Liu X, Li ZC, Zhang Z. Yan J, et al. Lab Invest. 2022 Feb;102(2):154-159. doi: 10.1038/s41374-021-00692-5. Epub 2021 Nov 15. Lab Invest. 2022. PMID: 34782727 Free 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. Eur Radiol. 2023 Feb;33(2):904-914. doi: 10.1007/s00330-022-09066-x. Epub 2022 Aug 24. Eur Radiol. 2023. PMID: 36001125
19,358 results
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