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MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
Li Y, Jian J, Pickhardt PJ, Ma F, Xia W, Li H, Zhang R, Zhao S, Cai S, Zhao X, Zhang J, Zhang G, Jiang J, Zhang Y, Wang K, Lin G, Feng F, Lu J, Deng L, Wu X, Qiang J, Gao X. Li Y, et al. Among authors: zhang r, zhang g, zhang j, zhang y. J Magn Reson Imaging. 2020 Sep;52(3):897-904. doi: 10.1002/jmri.27084. Epub 2020 Feb 11. J Magn Reson Imaging. 2020. PMID: 32045064
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers.
Jian J, Li Y, Pickhardt PJ, Xia W, He Z, Zhang R, Zhao S, Zhao X, Cai S, Zhang J, Zhang G, Jiang J, Zhang Y, Wang K, Lin G, Feng F, Wu X, Gao X, Qiang J. Jian J, et al. Among authors: zhang r, zhang g, zhang j, zhang y. Eur Radiol. 2021 Jan;31(1):403-410. doi: 10.1007/s00330-020-07091-2. Epub 2020 Aug 2. Eur Radiol. 2021. PMID: 32743768
Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib.
Zhang L, Xia W, Yan ZP, Sun JH, Zhong BY, Hou ZH, Yang MJ, Zhou GH, Wang WS, Zhao XY, Jian JM, Huang P, Zhang R, Zhang S, Zhang JY, Li Z, Zhu XL, Gao X, Ni CF. Zhang L, et al. Front Oncol. 2020 Sep 30;10:593292. doi: 10.3389/fonc.2020.593292. eCollection 2020. Front Oncol. 2020. PMID: 33102242 Free PMC article.
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors.
Jian J, Xia W, Zhang R, Zhao X, Zhang J, Wu X, Li Y, Qiang J, Gao X. Jian J, et al. Among authors: zhang r, zhang j. Artif Intell Med. 2021 Nov;121:102194. doi: 10.1016/j.artmed.2021.102194. Epub 2021 Oct 12. Artif Intell Med. 2021. PMID: 34763809
164,438 results
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