Kim S - Search Results

1

Evaluation of Early Response to Treatment of Hepatocellular Carcinoma with Yttrium-90 Radioembolization Using Quantitative Computed Tomography Analysis.

Kim S, Kim DY, An C, Han K, Won JY, Kim GM, Kim MJ, Choi JY. Kim S, et al. Among authors: kim dy, kim gm, kim mj. Korean J Radiol. 2019 Mar;20(3):449-458. doi: 10.3348/kjr.2018.0469. Korean J Radiol. 2019. PMID: 30799576 Free PMC article.

2

Outcomes of endovascular treatment for aortic pseudoaneurysm in Behcet's disease.

Kim SW, Lee DY, Kim MD, Won JY, Park SI, Yoon YN, Choi D, Ko YG. Kim SW, et al. J Vasc Surg. 2014 Mar;59(3):608-14. doi: 10.1016/j.jvs.2013.09.052. Epub 2013 Nov 16. J Vasc Surg. 2014. PMID: 24246540 Free article.

3

Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI.

Kim YY, An C, Kim S, Kim MJ. Kim YY, et al. Among authors: kim s, kim mj. Eur Radiol. 2018 May;28(5):2038-2046. doi: 10.1007/s00330-017-5188-y. Epub 2017 Dec 11. Eur Radiol. 2018. PMID: 29230525

4

T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer.

Kim S, Han K, Seo N, Kim HJ, Kim MJ, Koom WS, Ahn JB, Lim JS. Kim S, et al. Among authors: kim hj, kim mj. Eur Radiol. 2018 Dec;28(12):5231-5240. doi: 10.1007/s00330-018-5520-1. Epub 2018 Jun 1. Eur Radiol. 2018. PMID: 29858637

5

Gadoxetic acid enhanced magnetic resonance imaging for prediction of the postoperative prognosis of intrahepatic mass-forming cholangiocarcinoma.

Kim S, An C, Han K, Kim MJ. Kim S, et al. Among authors: kim mj. Abdom Radiol (NY). 2019 Jan;44(1):110-121. doi: 10.1007/s00261-018-1727-5. Abdom Radiol (NY). 2019. PMID: 30078083

6

Radiomics on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for Prediction of Postoperative Early and Late Recurrence of Single Hepatocellular Carcinoma.

Kim S, Shin J, Kim DY, Choi GH, Kim MJ, Choi JY. Kim S, et al. Among authors: kim dy, kim mj. Clin Cancer Res. 2019 Jul 1;25(13):3847-3855. doi: 10.1158/1078-0432.CCR-18-2861. Epub 2019 Feb 26. Clin Cancer Res. 2019. PMID: 30808773

7

Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.

Kim S, Yoon H, Lee MJ, Kim MJ, Han K, Yoon JK, Kim HC, Shin J, Shin HJ. Kim S, et al. Among authors: kim hc, kim mj. Sci Rep. 2019 Dec 19;9(1):19420. doi: 10.1038/s41598-019-55536-6. Sci Rep. 2019. PMID: 31857641 Free PMC article.

8

Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network.

Koh J, Lee E, Han K, Kim EK, Son EJ, Sohn YM, Seo M, Kwon MR, Yoon JH, Lee JH, Park YM, Kim S, Shin JH, Kwak JY. Koh J, et al. Among authors: kim ek, kim s. Sci Rep. 2020 Sep 17;10(1):15245. doi: 10.1038/s41598-020-72270-6. Sci Rep. 2020. PMID: 32943696 Free PMC article.

9

A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting.

Shin J, Lim JS, Huh YM, Kim JH, Hyung WJ, Chung JJ, Han K, Kim S. Shin J, et al. Among authors: kim s, kim jh. Sci Rep. 2021 Jan 21;11(1):1879. doi: 10.1038/s41598-021-81408-z. Sci Rep. 2021. PMID: 33479398 Free PMC article.

10

Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer.

Kim K, Kim S, Han K, Bae H, Shin J, Lim JS. Kim K, et al. Among authors: kim s. Korean J Radiol. 2021 Jun;22(6):912-921. doi: 10.3348/kjr.2020.0447. Epub 2021 Feb 25. Korean J Radiol. 2021. PMID: 33686820 Free PMC article.

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