Cui Y - Search Results

1

An integrated deep learning model for the prediction of pathological complete response to neoadjuvant chemotherapy with serial ultrasonography in breast cancer patients: a multicentre, retrospective study.

Wu L, Ye W, Liu Y, Chen D, Wang Y, Cui Y, Li Z, Li P, Li Z, Liu Z, Liu M, Liang C, Yang X, Xie Y, Wang Y. Wu L, et al. Among authors: cui y. Breast Cancer Res. 2022 Nov 21;24(1):81. doi: 10.1186/s13058-022-01580-6. Breast Cancer Res. 2022. PMID: 36414984 Free PMC article.

2

Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors.

Cui Y, Yang X, Du X, Zhuo Z, Xin L, Cheng X. Cui Y, et al. Eur Radiol. 2018 Apr;28(4):1485-1494. doi: 10.1007/s00330-017-5094-3. Epub 2017 Oct 23. Eur Radiol. 2018. PMID: 29063250

3

Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Cui Y, Yang X, Shi Z, Yang Z, Du X, Zhao Z, Cheng X. Cui Y, et al. Eur Radiol. 2019 Mar;29(3):1211-1220. doi: 10.1007/s00330-018-5683-9. Epub 2018 Aug 20. Eur Radiol. 2019. PMID: 30128616

4

Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings.

Cui Y, Cui X, Yang X, Zhuo Z, Du X, Xin L, Yang Z, Cheng X. Cui Y, et al. Among authors: cui x. J Magn Reson Imaging. 2019 Sep;50(3):930-939. doi: 10.1002/jmri.26653. Epub 2019 Jan 14. J Magn Reson Imaging. 2019. PMID: 30637861

5

Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.

Cui Y, Liu H, Ren J, Du X, Xin L, Li D, Yang X, Wang D. Cui Y, et al. Eur Radiol. 2020 Apr;30(4):1948-1958. doi: 10.1007/s00330-019-06572-3. Epub 2020 Jan 15. Eur Radiol. 2020. PMID: 31942672

6

Prognostic value of multiparametric MRI-based radiomics model: Potential role for chemotherapeutic benefits in locally advanced rectal cancer.

Cui Y, Yang W, Ren J, Li D, Du X, Zhang J, Yang X. Cui Y, et al. Radiother Oncol. 2021 Jan;154:161-169. doi: 10.1016/j.radonc.2020.09.039. Epub 2020 Sep 22. Radiother Oncol. 2021. PMID: 32976874

7

Multi-channel multi-task deep learning for predicting EGFR and KRAS mutations of non-small cell lung cancer on CT images.

Dong Y, Hou L, Yang W, Han J, Wang J, Qiang Y, Zhao J, Hou J, Song K, Ma Y, Kazihise NGF, Cui Y, Yang X. Dong Y, et al. Among authors: cui y. Quant Imaging Med Surg. 2021 Jun;11(6):2354-2375. doi: 10.21037/qims-20-600. Quant Imaging Med Surg. 2021. PMID: 34079707 Free PMC article.

8

Diffusion kurtosis imaging-derived histogram metrics for prediction of resistance to neoadjuvant chemoradiotherapy in rectal adenocarcinoma: Preliminary findings.

Li D, Cui Y, Hou L, Bian Z, Yang Z, Xu R, Jia Y, Wu Z, Yang X. Li D, et al. Among authors: cui y. Eur J Radiol. 2021 Nov;144:109963. doi: 10.1016/j.ejrad.2021.109963. Epub 2021 Sep 20. Eur J Radiol. 2021. PMID: 34562744

9

Improved U-Net based on contour prediction for efficient segmentation of rectal cancer.

Li D, Chu X, Cui Y, Zhao J, Zhang K, Yang X. Li D, et al. Among authors: cui y. Comput Methods Programs Biomed. 2022 Jan;213:106493. doi: 10.1016/j.cmpb.2021.106493. Epub 2021 Oct 24. Comput Methods Programs Biomed. 2022. PMID: 34749245

10

Radiomics Features at Multiparametric MRI Predict Disease-Free Survival in Patients With Locally Advanced Rectal Cancer.

Cui Y, Wang G, Ren J, Hou L, Li D, Wen Q, Xi Y, Yang X. Cui Y, et al. Acad Radiol. 2022 Aug;29(8):e128-e138. doi: 10.1016/j.acra.2021.11.024. Epub 2021 Dec 24. Acad Radiol. 2022. PMID: 34961658 Clinical Trial.

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