Guo Y - Search Results

1

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images.

Zhou Q, Zuley M, Guo Y, Yang L, Nair B, Vargo A, Ghannam S, Arefan D, Wu S. Zhou Q, et al. Among authors: guo y. Nat Commun. 2021 Dec 14;12(1):7281. doi: 10.1038/s41467-021-27577-x. Nat Commun. 2021. PMID: 34907229 Free PMC article.

2

Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.

Zhang L, Mohamed AA, Chai R, Guo Y, Zheng B, Wu S. Zhang L, et al. Among authors: guo y. J Magn Reson Imaging. 2020 Feb;51(2):635-643. doi: 10.1002/jmri.26860. Epub 2019 Jul 13. J Magn Reson Imaging. 2020. PMID: 31301201 Free PMC article.

3

Whole Volume Apparent Diffusion Coefficient (ADC) Histogram as a Quantitative Imaging Biomarker to Differentiate Breast Lesions: Correlation with the Ki-67 Proliferation Index.

Guo Y, Kong QC, Li LQ, Tang WJ, Zhang WL, Ning GY, Xue J, Zhou QW, Liang YY, Wu M, Jiang XQ. Guo Y, et al. Biomed Res Int. 2021 Jun 24;2021:4970265. doi: 10.1155/2021/4970265. eCollection 2021. Biomed Res Int. 2021. PMID: 34258262 Free PMC article.

4

Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Wu H, Liang Y, Jiang X, Wei X, Liu Y, Liu W, Guo Y, Tang W. Wu H, et al. Among authors: guo y. Medicine (Baltimore). 2018 Aug;97(34):e12071. doi: 10.1097/MD.0000000000012071. Medicine (Baltimore). 2018. PMID: 30142864 Free PMC article. Review.

5

Diagnostic performance of whole-lesion apparent diffusion coefficient histogram analysis metrics for differentiating benign and malignant breast lesions: a systematic review and diagnostic meta-analysis.

Xu F, Liang YY, Guo Y, Liang ZP, Wu M, Chen S, Zeng XW. Xu F, et al. Among authors: guo y. Acta Radiol. 2020 Sep;61(9):1165-1175. doi: 10.1177/0284185119896520. Epub 2020 Jan 10. Acta Radiol. 2020. PMID: 31924104

6

Whole-lesion histogram analysis of the apparent diffusion coefficient: Evaluation of the correlation with subtypes of mucinous breast carcinoma.

Guo Y, Kong QC, Zhu YQ, Liu ZZ, Peng LR, Tang WJ, Yang RM, Xie JJ, Liu CL. Guo Y, et al. J Magn Reson Imaging. 2018 Feb;47(2):391-400. doi: 10.1002/jmri.25794. Epub 2017 Jun 22. J Magn Reson Imaging. 2018. PMID: 28640538

7

Correlations between P53 Mutation Status and Texture Features of CT Images for Hepatocellular Carcinoma.

Wu H, Chen X, Chen J, Luo Y, Jiang X, Wei X, Tang W, Liu Y, Liang Y, Liu W, Guo Y. Wu H, et al. Among authors: guo y. Methods Inf Med. 2019 Jun;58(1):42-49. doi: 10.1055/s-0039-1688758. Epub 2019 Jun 4. Methods Inf Med. 2019. PMID: 31163452

8

Sequential enzyme-activated macrotheranostic probe for selective tumor mitochondria targeting.

Ma D, Zong Q, Du Y, Yu F, Xiao X, Sun R, Guo Y, Wei X, Yuan Y. Ma D, et al. Among authors: guo y. Acta Biomater. 2021 Nov;135:628-637. doi: 10.1016/j.actbio.2021.08.002. Epub 2021 Aug 8. Acta Biomater. 2021. PMID: 34371167

9

Abbreviated Versus Full-Protocol MRI for Breast Cancer Neoadjuvant Chemotherapy Response Assessment: Diagnostic Performance by General and Breast Radiologists.

Tang WJ, Chen SY, Hu WK, Li XL, Zheng BJ, Wang ZS, Ding HJ, Chen LX, Zhang QQ, Yu XM, Sui Y, Wei XH, Guo Y. Tang WJ, et al. Among authors: guo y. AJR Am J Roentgenol. 2023 Jun;220(6):817-825. doi: 10.2214/AJR.22.28686. Epub 2023 Feb 8. AJR Am J Roentgenol. 2023. PMID: 36752371

10

Prediction of the Ki-67 marker index in hepatocellular carcinoma based on CT radiomics features.

Wu H, Han X, Wang Z, Mo L, Liu W, Guo Y, Wei X, Jiang X. Wu H, et al. Among authors: guo y. Phys Med Biol. 2020 Dec 18;65(23):235048. doi: 10.1088/1361-6560/abac9c. Phys Med Biol. 2020. PMID: 32756021

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