Chen X - Search Results

1

A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancer.

Xu Z, Li Y, Wang Y, Zhang S, Huang Y, Yao S, Han C, Pan X, Shi Z, Mao Y, Xu Y, Huang X, Lin H, Chen X, Liang C, Li Z, Zhao K, Zhang Q, Liu Z. Xu Z, et al. Among authors: chen x. Cancer Cell Int. 2021 Oct 30;21(1):585. doi: 10.1186/s12935-021-02297-w. Cancer Cell Int. 2021. PMID: 34717647 Free PMC article.

2

Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images.

Zhao K, Wu L, Huang Y, Yao S, Xu Z, Lin H, Wang H, Liang Y, Xu Y, Chen X, Zhao M, Peng J, Huang Y, Liang C, Li Z, Li Y, Liu Z. Zhao K, et al. Among authors: chen x. Precis Clin Med. 2021 Jan 28;4(1):17-24. doi: 10.1093/pcmedi/pbab002. eCollection 2021 Mar. Precis Clin Med. 2021. PMID: 35693123 Free PMC article.

3

The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer.

Liang C, Huang Y, He L, Chen X, Ma Z, Dong D, Tian J, Liang C, Liu Z. Liang C, et al. Among authors: chen x. Oncotarget. 2016 May 24;7(21):31401-12. doi: 10.18632/oncotarget.8919. Oncotarget. 2016. PMID: 27120787 Free PMC article.

4

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.

Huang Y, Liu Z, He L, Chen X, Pan D, Ma Z, Liang C, Tian J, Liang C. Huang Y, et al. Among authors: chen x. Radiology. 2016 Dec;281(3):947-957. doi: 10.1148/radiol.2016152234. Epub 2016 Jun 27. Radiology. 2016. PMID: 27347764

5

Individualized prediction of perineural invasion in colorectal cancer: development and validation of a radiomics prediction model.

Huang Y, He L, Dong D, Yang C, Liang C, Chen X, Ma Z, Huang X, Yao S, Liang C, Tian J, Liu Z. Huang Y, et al. Among authors: chen x. Chin J Cancer Res. 2018 Feb;30(1):40-50. doi: 10.21147/j.issn.1000-9604.2018.01.05. Chin J Cancer Res. 2018. PMID: 29545718 Free PMC article.

6

Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer.

Wu X, Li Y, Chen X, Huang Y, He L, Zhao K, Huang X, Zhang W, Huang Y, Li Y, Dong M, Huang J, Xia T, Liang C, Liu Z. Wu X, et al. Among authors: chen x. Acad Radiol. 2020 Nov;27(11):e254-e262. doi: 10.1016/j.acra.2019.12.007. Epub 2020 Jan 23. Acad Radiol. 2020. PMID: 31982342

7

Multiple Level CT Radiomics Features Preoperatively Predict Lymph Node Metastasis in Esophageal Cancer: A Multicentre Retrospective Study.

Wu L, Yang X, Cao W, Zhao K, Li W, Ye W, Chen X, Zhou Z, Liu Z, Liang C. Wu L, et al. Among authors: chen x. Front Oncol. 2020 Jan 21;9:1548. doi: 10.3389/fonc.2019.01548. eCollection 2019. Front Oncol. 2020. PMID: 32039021 Free PMC article.

8

Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features.

Yang X, Wu L, Zhao K, Ye W, Liu W, Wang Y, Li J, Li H, Huang X, Zhang W, Huang Y, Chen X, Yao S, Liu Z, Liang C. Yang X, et al. Among authors: chen x. Chin J Cancer Res. 2020 Apr;32(2):175-185. doi: 10.21147/j.issn.1000-9604.2020.02.05. Chin J Cancer Res. 2020. PMID: 32410795 Free PMC article.

9

Hist-Immune signature: a prognostic factor in colorectal cancer using immunohistochemical slide image analysis.

Zhao K, Li Z, Li Y, Yao S, Huang Y, Wang Y, Zhang F, Wu L, Chen X, Liang C, Liu Z. Zhao K, et al. Among authors: chen x. Oncoimmunology. 2020 Oct 30;9(1):1841935. doi: 10.1080/2162402X.2020.1841935. Oncoimmunology. 2020. PMID: 33194320 Free PMC article.

10

A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients.

Lin T, Mai J, Yan M, Li Z, Quan X, Chen X. Lin T, et al. Among authors: chen x. Cancer Manag Res. 2021 Mar 30;13:2897-2906. doi: 10.2147/CMAR.S299020. eCollection 2021. Cancer Manag Res. 2021. PMID: 33833572 Free PMC article.

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