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A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.
Nie P, Yang G, Wang Y, Xu Y, Yan L, Zhang M, Zhao L, Wang N, Zhao X, Li X, Cheng N, Wang Y, Chen C, Wang N, Duan S, Wang X, Wang Z. Nie P, et al. Among authors: cheng n. Eur Radiol. 2023 Dec;33(12):8858-8868. doi: 10.1007/s00330-023-09869-6. Epub 2023 Jun 30. Eur Radiol. 2023. PMID: 37389608
The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study.
Yang G, Nie P, Yan L, Zhang M, Wang Y, Zhao L, Li M, Xie F, Xie H, Li X, Xiang F, Wang N, Cheng N, Zhao X, Wang N, Wang Y, Chen C, Yun C, Cui J, Duan S, Zhang R, Hao D, Wang X, Wang Z, Niu H. Yang G, et al. Among authors: cheng n. Eur J Nucl Med Mol Imaging. 2022 Jul;49(8):2949-2959. doi: 10.1007/s00259-022-05773-1. Epub 2022 Mar 28. Eur J Nucl Med Mol Imaging. 2022. PMID: 35344062
A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.
Nie P, Liu S, Zhou R, Li X, Zhi K, Wang Y, Dai Z, Zhao L, Wang N, Zhao X, Li X, Cheng N, Wang Y, Chen C, Xu Y, Yang G. Nie P, et al. Among authors: cheng n. Eur J Radiol. 2023 Sep;166:111018. doi: 10.1016/j.ejrad.2023.111018. Epub 2023 Jul 29. Eur J Radiol. 2023. PMID: 37562222
Multimodal Neuroimaging in Rett Syndrome With MECP2 Mutation.
Kong Y, Li QB, Yuan ZH, Jiang XF, Zhang GQ, Cheng N, Dang N. Kong Y, et al. Among authors: cheng n. Front Neurol. 2022 Feb 23;13:838206. doi: 10.3389/fneur.2022.838206. eCollection 2022. Front Neurol. 2022. PMID: 35280272 Free PMC article. Review.
2,113 results