Ye X - Search Results

1

A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke.

Fang T, Liu N, Nie S, Jia S, Ye X. Fang T, et al. Among authors: ye x. J Xray Sci Technol. 2024;32(1):17-30. doi: 10.3233/XST-230119. J Xray Sci Technol. 2024. PMID: 37980594

2

Correlation between CT based radiomics features and gene expression data in non-small cell lung cancer.

Wang T, Gong J, Duan HH, Wang LJ, Ye XD, Nie SD. Wang T, et al. J Xray Sci Technol. 2019;27(5):773-803. doi: 10.3233/XST-190526. J Xray Sci Technol. 2019. PMID: 31450540

3

A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics.

Wang X, Duan H, Li X, Ye X, Huang G, Nie S. Wang X, et al. Among authors: ye x. Phys Med Biol. 2020 Feb 12;65(4):045006. doi: 10.1088/1361-6560/ab6e51. Phys Med Biol. 2020. PMID: 31962301

4

Segmentation of pulmonary nodules in CT images based on 3D-UNET combined with three-dimensional conditional random field optimization.

Wu W, Gao L, Duan H, Huang G, Ye X, Nie S. Wu W, et al. Among authors: ye x. Med Phys. 2020 Sep;47(9):4054-4063. doi: 10.1002/mp.14248. Epub 2020 Jun 4. Med Phys. 2020. PMID: 32428969

5

A deep learning- and CT image-based prognostic model for the prediction of survival in non-small cell lung cancer.

Chen W, Hou X, Hu Y, Huang G, Ye X, Nie S. Chen W, et al. Among authors: ye x. Med Phys. 2021 Dec;48(12):7946-7958. doi: 10.1002/mp.15302. Epub 2021 Oct 28. Med Phys. 2021. PMID: 34661294

6

[Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].

Dong T, Wei L, Ye X, Chen Y, Hou X, Nie S. Dong T, et al. Among authors: ye x. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Jun 25;39(3):441-451. doi: 10.7507/1001-5515.202010051. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022. PMID: 35788513 Free PMC article. Chinese.

7

A method for distinguishing benign and malignant pulmonary nodules based on 3D dual path network aided by K-means clustering analysis.

Gao D, Ye X, Hou X, Chen Y, Kong X, Xie Y, Nie S. Gao D, et al. Among authors: ye x. J Zhejiang Univ Sci B. 2022 Nov 15;23(11):957-967. doi: 10.1631/jzus.B2101009. J Zhejiang Univ Sci B. 2022. PMID: 36379614 Free PMC article.

8

Joint two-stage convolutional neural networks for intracranial aneurysms detection on 3D TOF-MRA.

Zhou Y, Yang Y, Fang T, Jia S, Nie S, Ye X. Zhou Y, et al. Among authors: ye x. Phys Med Biol. 2023 Sep 8;68(18). doi: 10.1088/1361-6560/acf2e6. Phys Med Biol. 2023. PMID: 37607561

9

Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning.

Shen T, Hou R, Ye X, Li X, Xiong J, Zhang Q, Zhang C, Cai X, Yu W, Zhao J, Fu X. Shen T, et al. Among authors: ye x. Front Oncol. 2021 Jul 26;11:700158. doi: 10.3389/fonc.2021.700158. eCollection 2021. Front Oncol. 2021. PMID: 34381723 Free PMC article.

10

A Radiological-Radiomics model for differentiation between minimally invasive adenocarcinoma and invasive adenocarcinoma less than or equal to 3 cm: A two-center retrospective study.

Dong H, Xi Y, Liu K, Chen L, Li Y, Pan X, Zhang X, Ye X, Ding Z. Dong H, et al. Among authors: ye x. Eur J Radiol. 2024 Jul;176:111532. doi: 10.1016/j.ejrad.2024.111532. Epub 2024 May 27. Eur J Radiol. 2024. PMID: 38820952 Free article.

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