Kim Y - Search Results

1

Comparison of core needle biopsy and fine-needle aspiration in diagnosis of ma lignant salivary gland neoplasm: Systematic review and meta-analysis.

Cho J, Kim J, Lee JS, Chee CG, Kim Y, Choi SI. Cho J, et al. Among authors: kim j, kim y. Head Neck. 2020 Oct;42(10):3041-3050. doi: 10.1002/hed.26377. Epub 2020 Jul 16. Head Neck. 2020. PMID: 32671867 Review.

2

Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Kim Y, Lee KJ, Sunwoo L, Choi D, Nam CM, Cho J, Kim J, Bae YJ, Yoo RE, Choi BS, Jung C, Kim JH. Kim Y, et al. Among authors: kim j, kim jh. Invest Radiol. 2019 Jan;54(1):7-15. doi: 10.1097/RLI.0000000000000503. Invest Radiol. 2019. PMID: 30067607

3

Diagnostic accuracy of digital radiography for the diagnosis of osteonecrosis of the femoral head, revisited.

Chee CG, Cho J, Kang Y, Kim Y, Lee E, Lee JW, Ahn JM, Kang HS. Chee CG, et al. Among authors: kim y. Acta Radiol. 2019 Aug;60(8):969-976. doi: 10.1177/0284185118808083. Epub 2018 Oct 16. Acta Radiol. 2019. PMID: 30326729 No abstract available.

4

Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists.

Chee CG, Kim Y, Kang Y, Lee KJ, Chae HD, Cho J, Nam CM, Choi D, Lee E, Lee JW, Hong SH, Ahn JM, Kang HS. Chee CG, et al. Among authors: kim y. AJR Am J Roentgenol. 2019 Jul;213(1):155-162. doi: 10.2214/AJR.18.20817. Epub 2019 Mar 27. AJR Am J Roentgenol. 2019. PMID: 30917021

5

Diagnostic performance of plain radiography for sacroiliitis in patients with suspected axial spondyloarthritis: a systematic review and meta-analysis.

Kim Y, Chee CG, Kim J, Cho J, Yoon MA, Chung HW. Kim Y, et al. Among authors: kim j. Acta Radiol. 2021 Apr;62(4):500-509. doi: 10.1177/0284185120930624. Epub 2020 Jun 14. Acta Radiol. 2021. PMID: 32536262

6

Diagnostic accuracy and complication rate of image-guided percutaneous transthoracic needle lung biopsy for subsolid pulmonary nodules: a systematic review and meta-analysis.

Kim J, Chee CG, Cho J, Kim Y, Yoon MA. Kim J, et al. Among authors: kim y. Br J Radiol. 2021 Nov 1;94(1127):20210065. doi: 10.1259/bjr.20210065. Epub 2021 Oct 18. Br J Radiol. 2021. PMID: 34662206 Free PMC article.

7

Appendiceal Visualization on 2-mSv CT vs. Conventional-Dose CT in Adolescents and Young Adults with Suspected Appendicitis: An Analysis of Large Pragmatic Randomized Trial Data.

Cho J, Kim Y, Lee S, Min HD, Ko Y, Chee CG, Kim HY, Park JH, Lee KH; LOCAT Group. Cho J, et al. Among authors: kim hy, kim y. Korean J Radiol. 2022 Apr;23(4):413-425. doi: 10.3348/kjr.2021.0504. Epub 2022 Jan 27. Korean J Radiol. 2022. PMID: 35289144 Free PMC article. Clinical Trial.

8

Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.

Kim Y, Choi D, Lee KJ, Kang Y, Ahn JM, Lee E, Lee JW, Kang HS. Kim Y, et al. Eur Radiol. 2020 May;30(5):2843-2852. doi: 10.1007/s00330-019-06639-1. Epub 2020 Feb 5. Eur Radiol. 2020. PMID: 32025834

9

False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients.

Kim Y, Rim J, Kim SM, Yun B, Park SY, Ahn HS, Kim B, Jang M. Kim Y, et al. Among authors: kim b, kim sm. Ultrasonography. 2021 Jan;40(1):83-92. doi: 10.14366/usg.19076. Epub 2020 Mar 24. Ultrasonography. 2021. PMID: 32422696 Free PMC article.

10

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.

Jeon Y, Lee K, Sunwoo L, Choi D, Oh DY, Lee KJ, Kim Y, Kim JW, Cho SJ, Baik SH, Yoo RE, Bae YJ, Choi BS, Jung C, Kim JH. Jeon Y, et al. Among authors: kim y, kim jw, kim jh. Diagnostics (Basel). 2021 Feb 5;11(2):250. doi: 10.3390/diagnostics11020250. Diagnostics (Basel). 2021. PMID: 33562764 Free PMC article.

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