Wang G - Search Results

1

Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma.

Liao G, Huang L, Wu S, Zhang P, Xie D, Yao L, Zhang Z, Yao S, Shanshan L, Wang S, Wang G, Wing-Chi Chan L, Zhou H. Liao G, et al. Among authors: wang g, wang s. Lung Cancer. 2022 Jan;163:87-95. doi: 10.1016/j.lungcan.2021.11.017. Epub 2021 Dec 6. Lung Cancer. 2022. PMID: 34942493 Free article.

2

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study.

Huang L, Lin W, Xie D, Yu Y, Cao H, Liao G, Wu S, Yao L, Wang Z, Wang M, Wang S, Wang G, Zhang D, Yao S, He Z, Cho WC, Chen D, Zhang Z, Li W, Qiao G, Chan LW, Zhou H. Huang L, et al. Among authors: wang g, wang z, wang m, wang s. Eur Radiol. 2022 Mar;32(3):1983-1996. doi: 10.1007/s00330-021-08268-z. Epub 2021 Oct 16. Eur Radiol. 2022. PMID: 34654966 Free PMC article. Clinical Trial.

3

Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB-IV NSCLC (LCDigital-IO Study): a multicenter retrospective study.

Wu S, Zhan W, Liu L, Xie D, Yao L, Yao H, Liao G, Huang L, Zhou Y, You P, Huang Z, Li Q, Xu B, Wang S, Wang G, Zhang DK, Qiao G, Chan LW, Lanuti M, Zhou H. Wu S, et al. Among authors: wang g, wang s. J Immunother Cancer. 2023 Oct;11(10):e007369. doi: 10.1136/jitc-2023-007369. J Immunother Cancer. 2023. PMID: 37865396 Free PMC article.

4

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Preoperative Diffusion-Weighted MR Using Deep Learning.

Wang G, Jian W, Cen X, Zhang L, Guo H, Liu Z, Liang C, Zhou W. Wang G, et al. Acad Radiol. 2021 Nov;28 Suppl 1:S118-S127. doi: 10.1016/j.acra.2020.11.014. Epub 2020 Dec 7. Acad Radiol. 2021. PMID: 33303346

5

Angiomyolipoma with minimal fat: differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images.

Yan L, Liu Z, Wang G, Huang Y, Liu Y, Yu Y, Liang C. Yan L, et al. Among authors: wang g. Acad Radiol. 2015 Sep;22(9):1115-21. doi: 10.1016/j.acra.2015.04.004. Epub 2015 May 29. Acad Radiol. 2015. PMID: 26031228

6

Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.

Wang G, He L, Yuan C, Huang Y, Liu Z, Liang C. Wang G, et al. Eur J Radiol. 2018 Jan;98:100-106. doi: 10.1016/j.ejrad.2017.11.007. Epub 2017 Nov 14. Eur J Radiol. 2018. PMID: 29279146

7

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks.

Zhou W, Jian W, Cen X, Zhang L, Guo H, Liu Z, Liang C, Wang G. Zhou W, et al. Among authors: wang g. Front Oncol. 2021 Mar 4;11:588010. doi: 10.3389/fonc.2021.588010. eCollection 2021. Front Oncol. 2021. PMID: 33854959 Free PMC article.

8

Malignancy characterization of hepatocellular carcinomas based on texture analysis of contrast-enhanced MR images.

Zhou W, Zhang L, Wang K, Chen S, Wang G, Liu Z, Liang C. Zhou W, et al. Among authors: wang g, wang k. J Magn Reson Imaging. 2017 May;45(5):1476-1484. doi: 10.1002/jmri.25454. Epub 2016 Sep 14. J Magn Reson Imaging. 2017. PMID: 27626270

9

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Zhou W, Wang G, Xie G, Zhang L. Zhou W, et al. Among authors: wang g. Med Phys. 2019 Sep;46(9):3951-3960. doi: 10.1002/mp.13642. Epub 2019 Jul 20. Med Phys. 2019. PMID: 31169907

10

DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.

Huang H, Xie Y, Wang G, Zhang L, Zhou W. Huang H, et al. Among authors: wang g. Comput Methods Programs Biomed. 2022 Dec;227:107201. doi: 10.1016/j.cmpb.2022.107201. Epub 2022 Oct 25. Comput Methods Programs Biomed. 2022. PMID: 36335751

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