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Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies.
Li C, Jing B, Ke L, Li B, Xia W, He C, Qian C, Zhao C, Mai H, Chen M, Cao K, Mo H, Guo L, Chen Q, Tang L, Qiu W, Yu Y, Liang H, Huang X, Liu G, Li W, Wang L, Sun R, Zou X, Guo S, Huang P, Luo D, Qiu F, Wu Y, Hua Y, Liu K, Lv S, Miao J, Xiang Y, Sun Y, Guo X, Lv X. Li C, et al. Among authors: liu k, liu g. Cancer Commun (Lond). 2018 Sep 25;38(1):59. doi: 10.1186/s40880-018-0325-9. Cancer Commun (Lond). 2018. PMID: 30253801 Free PMC article.
A deep survival analysis method based on ranking.
Jing B, Zhang T, Wang Z, Jin Y, Liu K, Qiu W, Ke L, Sun Y, He C, Hou D, Tang L, Lv X, Li C. Jing B, et al. Among authors: liu k. Artif Intell Med. 2019 Jul;98:1-9. doi: 10.1016/j.artmed.2019.06.001. Epub 2019 Jun 6. Artif Intell Med. 2019. PMID: 31521247
MRI-detected residual retropharyngeal lymph node after intensity-modulated radiotherapy in nasopharyngeal carcinoma: Prognostic value and a nomogram for the pretherapy prediction of it.
Li WZ, Liu GY, Lin LF, Lv SH, Qiang MY, Lv X, Wu YS, Liang H, Ke LR, Wang DL, Yu YH, Qiu WZ, Liu KY, Guo X, Li JP, Zou YJ, Xiang YQ, Xia WX. Li WZ, et al. Radiother Oncol. 2020 Apr;145:101-108. doi: 10.1016/j.radonc.2019.12.018. Epub 2020 Jan 10. Radiother Oncol. 2020. PMID: 31931288
Investigation of the feasibility of synthetic MRI in the differential diagnosis of non-keratinising nasopharyngeal carcinoma and benign hyperplasia using different contoured methods for delineation of the region of interest.
Meng T, He H, Liu H, Lv X, Huang C, Zhong L, Liu K, Qian L, Ke L, Xie C. Meng T, et al. Among authors: liu k, liu h. Clin Radiol. 2021 Mar;76(3):238.e9-238.e15. doi: 10.1016/j.crad.2020.10.010. Epub 2020 Nov 16. Clin Radiol. 2021. PMID: 33213835
24,170 results
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