Wang S - Search Results

1

Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer.

Fan M, Zhang P, Wang Y, Peng W, Wang S, Gao X, Xu M, Li L. Fan M, et al. Among authors: wang y, wang s. Eur Radiol. 2019 Aug;29(8):4456-4467. doi: 10.1007/s00330-018-5891-3. Epub 2019 Jan 7. Eur Radiol. 2019. PMID: 30617495

2

Differentiation of breast cancer from fibroadenoma with dual-echo dynamic contrast-enhanced MRI.

Wang S, Delproposto Z, Wang H, Ding X, Ji C, Wang B, Xu M. Wang S, et al. Among authors: wang h, wang b. PLoS One. 2013 Jul 2;8(7):e67731. doi: 10.1371/journal.pone.0067731. Print 2013. PLoS One. 2013. PMID: 23844077 Free PMC article.

3

Application evaluation of DCE-MRI combined with quantitative analysis of DWI for the diagnosis of prostate cancer.

Ma XZ, Lv K, Sheng JL, Yu YX, Pang PP, Xu MS, Wang SW. Ma XZ, et al. Oncol Lett. 2019 Mar;17(3):3077-3084. doi: 10.3892/ol.2019.9988. Epub 2019 Jan 29. Oncol Lett. 2019. PMID: 30867737 Free PMC article.

4

Can texture features improve the differentiation of infiltrative lung adenocarcinoma appearing as ground glass nodules in contrast-enhanced CT?

Gao C, Xiang P, Ye J, Pang P, Wang S, Xu M. Gao C, et al. Among authors: wang s. Eur J Radiol. 2019 Aug;117:126-131. doi: 10.1016/j.ejrad.2019.06.010. Epub 2019 Jun 12. Eur J Radiol. 2019. PMID: 31307637

5

Non-contrast MRI for breast screening: preliminary study on detectability of benign and malignant lesions in women with dense breasts.

Bu Y, Xia J, Joseph B, Zhao X, Xu M, Yu Y, Qi S, Shah KA, Wang S, Hu J. Bu Y, et al. Among authors: wang s. Breast Cancer Res Treat. 2019 Oct;177(3):629-639. doi: 10.1007/s10549-019-05342-5. Epub 2019 Jul 19. Breast Cancer Res Treat. 2019. PMID: 31325074

6

Correction to: Non-contrast MRI for breast screening: preliminary study on detectability of benign and malignant lesions in women with dense breasts.

Bu Y, Xia J, Joseph B, Zhao X, Xu M, Yu Y, Qi S, Shah KA, Wang S, Hu J. Bu Y, et al. Among authors: wang s. Breast Cancer Res Treat. 2019 Nov;178(1):249-250. doi: 10.1007/s10549-019-05383-w. Breast Cancer Res Treat. 2019. PMID: 31432363

7

Integration of dynamic contrast-enhanced magnetic resonance imaging and T2-weighted imaging radiomic features by a canonical correlation analysis-based feature fusion method to predict histological grade in ductal breast carcinoma.

Fan M, Liu Z, Xie S, Xu M, Wang S, Gao X, Li L. Fan M, et al. Among authors: wang s. Phys Med Biol. 2019 Oct 23;64(21):215001. doi: 10.1088/1361-6560/ab3fd3. Phys Med Biol. 2019. PMID: 31470420

8

Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics.

Fan M, Yuan W, Zhao W, Xu M, Wang S, Gao X, Li L. Fan M, et al. Among authors: wang s. IEEE J Biomed Health Inform. 2020 Jun;24(6):1632-1642. doi: 10.1109/JBHI.2019.2956351. Epub 2019 Nov 28. IEEE J Biomed Health Inform. 2020. PMID: 31794406

9

Generative adversarial network-based super-resolution of diffusion-weighted imaging: Application to tumour radiomics in breast cancer.

Fan M, Liu Z, Xu M, Wang S, Zeng T, Gao X, Li L. Fan M, et al. Among authors: wang s. NMR Biomed. 2020 Aug;33(8):e4345. doi: 10.1002/nbm.4345. Epub 2020 Jun 10. NMR Biomed. 2020. PMID: 32521567

10

A deep matrix completion method for imputing missing histological data in breast cancer by integrating DCE-MRI radiomics.

Fan M, Zhang Y, Fu Z, Xu M, Wang S, Xie S, Gao X, Wang Y, Li L. Fan M, et al. Among authors: wang y, wang s. Med Phys. 2021 Dec;48(12):7685-7697. doi: 10.1002/mp.15316. Epub 2021 Nov 13. Med Phys. 2021. PMID: 34724248

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