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2023 | 1 |
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A deep learning-based semiautomated workflow for triaging follow-up MR scans in treated nasopharyngeal carcinoma.
iScience. 2023 Oct 29;26(12):108347. doi: 10.1016/j.isci.2023.108347. eCollection 2023 Dec 15.
iScience. 2023.
PMID: 38125021
Free PMC article.
Artificial intelligence for diagnosis and prognosis prediction of natural killer/T cell lymphoma using magnetic resonance imaging.
Zhang Y, Deng Y, Zou Q, Jing B, Cai P, Tian X, Yang Y, Li B, Liu F, Li Z, Liu Z, Feng S, Peng T, Dong Y, Wang X, Ruan G, He Y, Cui C, Li J, Luo X, Huang H, Chen H, Li S, Sun Y, Xie C, Wang L, Li C, Cai Q.
Zhang Y, et al.
Cell Rep Med. 2024 Apr 25:101551. doi: 10.1016/j.xcrm.2024.101551. Online ahead of print.
Cell Rep Med. 2024.
PMID: 38697104
Free article.
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Correction to: Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
Zhuo EH, Zhang WJ, Li HJ, Zhang GY, Jing BZ, Zhou J, Cui CY, Chen MY, Sun Y, Liu LZ, Cai HM.
Zhuo EH, et al. Among authors: jing bz.
Eur Radiol. 2019 Jul;29(7):3957. doi: 10.1007/s00330-019-06184-x.
Eur Radiol. 2019.
PMID: 31028440
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Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
Zhuo EH, Zhang WJ, Li HJ, Zhang GY, Jing BZ, Zhou J, Cui CY, Chen MY, Sun Y, Liu LZ, Cai HM.
Zhuo EH, et al. Among authors: jing bz.
Eur Radiol. 2019 Oct;29(10):5590-5599. doi: 10.1007/s00330-019-06075-1. Epub 2019 Mar 14.
Eur Radiol. 2019.
PMID: 30874880
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