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Page 1
Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review.
Wang Z, Fang M, Zhang J, Tang L, Zhong L, Li H, Cao R, Zhao X, Liu S, Zhang R, Xie X, Mai H, Qiu S, Tian J, Dong D. Wang Z, et al. Among authors: dong d. IEEE Rev Biomed Eng. 2024;17:118-135. doi: 10.1109/RBME.2023.3269776. Epub 2024 Jan 12. IEEE Rev Biomed Eng. 2024. PMID: 37097799 Review.
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study.
Liu T, Dong D, Zhao X, Ou XM, Yi JL, Guan J, Zhang Y, Xiao-Fei L, Xie CM, Luo DH, Sun R, Chen QY, Xing L, Guo SS, Liu LT, Lin DF, Chen YZ, Lin JY, Luo MJ, Yan WB, He ML, Mao MY, Zhu MY, Chen WH, Shen BW, Wang SQ, Li HL, Zhong LZ, Hu CS, Wu DH, Mai HQ, Tian J, Tang LQ. Liu T, et al. Among authors: dong d. BMC Med. 2023 Nov 27;21(1):464. doi: 10.1186/s12916-023-03164-3. BMC Med. 2023. PMID: 38012705 Free PMC article.
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma.
Lin DF, Li HL, Liu T, Lv XF, Xie CM, Ou XM, Guan J, Zhang Y, Yan WB, He ML, Mao MY, Zhao X, Zhong LZ, Chen WH, Chen QY, Mai HQ, Peng RJ, Tian J, Tang LQ, Dong D. Lin DF, et al. Among authors: dong d. J Natl Cancer Inst. 2024 Apr 19:djae081. doi: 10.1093/jnci/djae081. Online ahead of print. J Natl Cancer Inst. 2024. PMID: 38637942
23 results