Cui EM - Search Results

1

CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.

Lin F, Cui EM, Lei Y, Luo LP. Lin F, et al. Among authors: cui em. Abdom Radiol (NY). 2019 Jul;44(7):2528-2534. doi: 10.1007/s00261-019-01992-7. Abdom Radiol (NY). 2019. PMID: 30919041

2

Development and validation of a predictor of insufficient enhancement during the hepatobiliary phase of Gd-EOB-DTPA-enhanced magnetic resonance imaging.

Cui E, Long W, Luo L, Hu M, Huang L, Chen X. Cui E, et al. Acta Radiol. 2017 Oct;58(10):1174-1181. doi: 10.1177/0284185116687170. Epub 2017 Jan 16. Acta Radiol. 2017. PMID: 28090793

3

Distribution and correlation of pancreatic gland size and duct diameters on MRCP in patients without evidence of pancreatic disease.

Wang Q, Swensson J, Hu M, Cui E, Tirkes T, Jennings SG, Akisik F. Wang Q, et al. Abdom Radiol (NY). 2019 Mar;44(3):967-975. doi: 10.1007/s00261-018-1879-3. Abdom Radiol (NY). 2019. PMID: 30600375

4

Differentiating IgG4-related sclerosing cholangiopathy from cholangiocarcinoma using CT and MRI: experience from a tertiary referring center.

Swensson J, Tirkes T, Tann M, Cui E, Sandrasegaran K. Swensson J, et al. Abdom Radiol (NY). 2019 Jun;44(6):2111-2115. doi: 10.1007/s00261-019-01944-1. Abdom Radiol (NY). 2019. PMID: 30783729 Free PMC article.

5

Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features.

Cui EM, Lin F, Li Q, Li RG, Chen XM, Liu ZS, Long WS. Cui EM, et al. Acta Radiol. 2019 Nov;60(11):1543-1552. doi: 10.1177/0284185119830282. Epub 2019 Feb 24. Acta Radiol. 2019. PMID: 30799634 No abstract available.

6

CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.

Deng Y, Soule E, Samuel A, Shah S, Cui E, Asare-Sawiri M, Sundaram C, Lall C, Sandrasegaran K. Deng Y, et al. Eur Radiol. 2019 Dec;29(12):6922-6929. doi: 10.1007/s00330-019-06260-2. Epub 2019 May 24. Eur Radiol. 2019. PMID: 31127316

7

Whole-Lesion Computed Tomography-Based Entropy Parameters for the Differentiation of Minimally Invasive and Invasive Adenocarcinomas Appearing as Pulmonary Subsolid Nodules.

Chen X, Feng B, Chen Y, Hao Y, Duan X, Cui E, Liu Z, Zhang C, Long W. Chen X, et al. J Comput Assist Tomogr. 2019 Sep/Oct;43(5):817-824. doi: 10.1097/RCT.0000000000000889. J Comput Assist Tomogr. 2019. PMID: 31343995

8

Usefulness of CT texture analysis in differentiating benign and malignant renal tumours.

Deng Y, Soule E, Cui E, Samuel A, Shah S, Lall C, Sundaram C, Sandrasegaran K. Deng Y, et al. Clin Radiol. 2020 Feb;75(2):108-115. doi: 10.1016/j.crad.2019.09.131. Epub 2019 Oct 24. Clin Radiol. 2020. PMID: 31668402

9

Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.

Cui E, Li Z, Ma C, Li Q, Lei Y, Lan Y, Yu J, Zhou Z, Li R, Long W, Lin F. Cui E, et al. Eur Radiol. 2020 May;30(5):2912-2921. doi: 10.1007/s00330-019-06601-1. Epub 2020 Jan 30. Eur Radiol. 2020. PMID: 32002635

10

Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation.

Cui E, Li Q, Wu J, Mei Y, Yu J, Long W, Li Z, Lan Y, Lin F. Cui E, et al. Abdom Radiol (NY). 2020 Nov;45(11):3681-3689. doi: 10.1007/s00261-020-02520-8. Abdom Radiol (NY). 2020. PMID: 32266505

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