Lin F - 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. Abdom Radiol (NY). 2019 Jul;44(7):2528-2534. doi: 10.1007/s00261-019-01992-7. Abdom Radiol (NY). 2019. PMID: 30919041

2

Influence of lesion ratio on diagnostic performance of in-phase/opposed-phase imaging and apparent diffusion coefficient for differentiating acute benign vertebral fractures and metastases.

Lin F, Lei Y, Li YB. Lin F, et al. Chin Med J (Engl). 2009 Jun 5;122(11):1293-9. Chin Med J (Engl). 2009. PMID: 19567140

3

Brain susceptibility weighted imaging signal changes in acute hemorrhagic anemia: an experimental study using a rabbit model.

Xia J, Xie N, Feng Y, Yin A, Liu P, Zhou R, Lin F, Teng G, Lei Y. Xia J, et al. Among authors: lin f. Med Sci Monit. 2014 Jul 25;20:1291-7. doi: 10.12659/MSM.890641. Med Sci Monit. 2014. Retraction in: Med Sci Monit. 2023 Nov 14;29:e943175. doi: 10.12659/MSM.943175 PMID: 25060330 Free PMC article. Retracted.

4

Susceptibility-weighted imaging is suitable for evaluating signal strength in different brain regions of a rabbit model of acute hemorrhagic anemia.

Xia J, Xie N, Yin A, Teng G, Lin F, Lei Y. Xia J, et al. Among authors: lin f. Neural Regen Res. 2014 May 1;9(9):990-2. doi: 10.4103/1673-5374.133153. Neural Regen Res. 2014. PMID: 25206923 Free PMC article. No abstract available.

5

Image features related to margin and enhancement pattern improve the performance of computer-aided diagnosis for hepatic diseases using multi-phase computed tomography.

Lin F, Lei Y. Lin F, et al. Chin Med J (Engl). 2014;127(19):3406-17. Chin Med J (Engl). 2014. PMID: 25269904

6

Abnormalities of diffusional kurtosis imaging and regional homogeneity in idiopathic generalized epilepsy with generalized tonic-clonic seizures.

Liu G, Lyu G, Yang N, Chen B, Yang J, Hu Y, Lei Y, Xia J, Lin F, Fan G. Liu G, et al. Among authors: lin f. Exp Ther Med. 2019 Jan;17(1):603-612. doi: 10.3892/etm.2018.7018. Epub 2018 Nov 27. Exp Ther Med. 2019. PMID: 30651841 Free PMC article.

7

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. Among authors: lin f. Acta Radiol. 2019 Nov;60(11):1543-1552. doi: 10.1177/0284185119830282. Epub 2019 Feb 24. Acta Radiol. 2019. PMID: 30799634 No abstract available.

8

Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram.

Zhang HW, Lyu GW, He WJ, Lei Y, Lin F, Feng YN, Wang MZ. Zhang HW, et al. Among authors: lin f. Acta Radiol. 2020 Sep;61(9):1221-1227. doi: 10.1177/0284185119896519. Epub 2020 Jan 5. Acta Radiol. 2020. PMID: 31902220

9

DSC and DCE Histogram Analyses of Glioma Biomarkers, Including IDH, MGMT, and TERT, on Differentiation and Survival.

Zhang HW, Lyu GW, He WJ, Lei Y, Lin F, Wang MZ, Zhang H, Liang LH, Feng YN, Yang JH. Zhang HW, et al. Among authors: lin f. Acad Radiol. 2020 Dec;27(12):e263-e271. doi: 10.1016/j.acra.2019.12.010. Epub 2020 Jan 23. Acad Radiol. 2020. PMID: 31983532

10

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. Among authors: lin f. Eur Radiol. 2020 May;30(5):2912-2921. doi: 10.1007/s00330-019-06601-1. Epub 2020 Jan 30. Eur Radiol. 2020. PMID: 32002635

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