Li Z - Search Results

1

Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.

Liu Z, Feng B, Li C, Chen Y, Chen Q, Li X, Guan J, Chen X, Cui E, Li R, Li Z, Long W. Liu Z, et al. Among authors: li c, li z, li x, li r. J Magn Reson Imaging. 2019 Sep;50(3):847-857. doi: 10.1002/jmri.26688. Epub 2019 Feb 17. J Magn Reson Imaging. 2019. PMID: 30773770

2

A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography.

Chen X, Feng B, Li C, Duan X, Chen Y, Li Z, Liu Z, Zhang C, Long W. Chen X, et al. Among authors: li c, li z. Oncol Rep. 2020 Apr;43(4):1256-1266. doi: 10.3892/or.2020.7497. Epub 2020 Feb 11. Oncol Rep. 2020. PMID: 32323834 Free PMC article.

3

Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule.

Feng B, Chen X, Chen Y, Liu K, Li K, Liu X, Yao N, Li Z, Li R, Zhang C, Ji J, Long W. Feng B, et al. Among authors: li z, li k, li r. Eur J Radiol. 2020 Jul;128:109022. doi: 10.1016/j.ejrad.2020.109022. Epub 2020 Apr 20. Eur J Radiol. 2020. PMID: 32371184

4

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

Feng B, Chen X, Chen Y, Lu S, Liu K, Li K, Liu Z, Hao Y, Li Z, Zhu Z, Yao N, Liang G, Zhang J, Long W, Liu X. Feng B, et al. Among authors: li z, li k. Eur Radiol. 2020 Dec;30(12):6497-6507. doi: 10.1007/s00330-020-07024-z. Epub 2020 Jun 27. Eur Radiol. 2020. PMID: 32594210

5

The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.

Zhang S, Zhu Z, Zhang B, Feng B, Yu T, Li Z. Zhang S, et al. Among authors: li z. Sensors (Basel). 2020 Aug 22;20(17):4749. doi: 10.3390/s20174749. Sensors (Basel). 2020. PMID: 32842635 Free PMC article.

6

A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics.

Liang X, Wu Y, Liu Y, Yu D, Huang C, Li Z. Liang X, et al. Among authors: li z. Abdom Radiol (NY). 2022 Jun;47(6):2036-2045. doi: 10.1007/s00261-022-03507-3. Epub 2022 Apr 7. Abdom Radiol (NY). 2022. PMID: 35391567

7

Preoperative prediction of invasive behavior of pancreatic solid pseudopapillary neoplasm by MRI-based multiparametric radiomics models.

Liang X, He W, Huang C, Feng Z, Guan X, Liu Y, Sun Z, Li Z. Liang X, et al. Among authors: li z. Abdom Radiol (NY). 2022 Nov;47(11):3782-3791. doi: 10.1007/s00261-022-03639-6. Epub 2022 Aug 17. Abdom Radiol (NY). 2022. PMID: 35976419

8

Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning.

Feng B, Chen X, Chen Y, Yu T, Duan X, Liu K, Li K, Liu Z, Lin H, Li S, Chen X, Ke Y, Li Z, Cui E, Long W, Liu X. Feng B, et al. Among authors: li s, li z, li k. Cancers (Basel). 2023 Jan 31;15(3):892. doi: 10.3390/cancers15030892. Cancers (Basel). 2023. PMID: 36765850 Free PMC article.

9

Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.

Li Z, Zhang J, Zhong Q, Feng Z, Shi Y, Xu L, Zhang R, Yu F, Lv B, Yang T, Huang C, Cui F, Chen F. Li Z, et al. Eur Radiol. 2023 Mar;33(3):1835-1843. doi: 10.1007/s00330-022-09160-0. Epub 2022 Oct 25. Eur Radiol. 2023. PMID: 36282309

10

Preoperative CT and Radiomics Nomograms for Distinguishing Bronchiolar Adenoma and Early-Stage Lung Adenocarcinoma.

Liu X, Xu Y, Shu J, Zuo Y, Li Z, Lin M, Li C, Liu Y, Wang X, Zhao Y, Du Z, Wang G, Li W. Liu X, et al. Among authors: li c, li z, li w. Acad Radiol. 2024 Sep 9:S1076-6332(24)00611-1. doi: 10.1016/j.acra.2024.08.047. Online ahead of print. Acad Radiol. 2024. PMID: 39256085

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