Kim J - Search Results

1

Quantitative Thoracic Magnetic Resonance Criteria for the Differentiation of Cysts from Solid Masses in the Anterior Mediastinum.

Hwang EJ, Paek M, Yoon SH, Kim J, Lee HY, Goo JM, Kim H, Kim H, Ackman JB. Hwang EJ, et al. Among authors: kim h, kim j. Korean J Radiol. 2019 May;20(5):854-861. doi: 10.3348/kjr.2018.0699. Korean J Radiol. 2019. PMID: 30993936 Free PMC article.

2

Diagnostic Performance of CT Angiography in Patients Visiting Emergency Department with Overt Gastrointestinal Bleeding.

Kim J, Kim YH, Lee KH, Lee YJ, Park JH. Kim J, et al. Among authors: kim yh. Korean J Radiol. 2015 May-Jun;16(3):541-9. doi: 10.3348/kjr.2015.16.3.541. Epub 2015 May 13. Korean J Radiol. 2015. PMID: 25995683 Free PMC article.

3

Effect of computed tomography window settings and reconstruction plane on 8th edition T-stage classification in patients with lung adenocarcinoma manifesting as a subsolid nodule.

Ahn H, Lee KW, Lee KH, Kim J, Kim K, Chung JH, Lee CT. Ahn H, et al. Among authors: kim j, kim k. Eur J Radiol. 2018 Jan;98:130-135. doi: 10.1016/j.ejrad.2017.11.015. Epub 2017 Nov 22. Eur J Radiol. 2018. PMID: 29279151

4

Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma.

Ahn H, Lee KH, Kim J, Kim J, Kim J, Lee KW. Ahn H, et al. Among authors: kim j. Korean J Radiol. 2018 May-Jun;19(3):508-515. doi: 10.3348/kjr.2018.19.3.508. Epub 2018 Apr 6. Korean J Radiol. 2018. PMID: 29713229 Free PMC article.

5

Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability.

Lee KH, Lee KW, Park JH, Han K, Kim J, Lee SM, Park CM. Lee KH, et al. Among authors: kim j. Korean J Radiol. 2018 May-Jun;19(3):516-525. doi: 10.3348/kjr.2018.19.3.516. Epub 2018 Apr 6. Korean J Radiol. 2018. PMID: 29713230 Free PMC article.

6

Growth of thymic epithelial tumors and thymic cysts: Differential radiological points.

Kim H, Yoon SH, Kim J, Lee KW, Choi YR, Cho H, Goo JM. Kim H, et al. Among authors: kim j. Thorac Cancer. 2019 Apr;10(4):864-871. doi: 10.1111/1759-7714.13016. Epub 2019 Feb 21. Thorac Cancer. 2019. PMID: 30793538 Free PMC article.

7

Usefulness of CT-Guided Percutaneous Transthoracic Needle Lung Biopsies in Patients with Suspected Pulmonary Infection.

Kim J, Lee KH, Cho JY, Kim J, Shin YJ, Lee KW. Kim J, et al. Korean J Radiol. 2020 May;21(5):526-536. doi: 10.3348/kjr.2019.0492. Korean J Radiol. 2020. PMID: 32323498 Free PMC article.

8

Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.

Jang S, Song H, Shin YJ, Kim J, Kim J, Lee KW, Lee SS, Lee W, Lee S, Lee KH. Jang S, et al. Among authors: kim j. Radiology. 2020 Sep;296(3):652-661. doi: 10.1148/radiol.2020200165. Epub 2020 Jul 21. Radiology. 2020. PMID: 32692300

9

Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm.

Choi YR, Yoon SH, Kim J, Yoo JY, Kim H, Jin KN. Choi YR, et al. Among authors: kim h, kim j. Tuberc Respir Dis (Seoul). 2023 Jul;86(3):226-233. doi: 10.4046/trd.2023.0020. Epub 2023 May 15. Tuberc Respir Dis (Seoul). 2023. PMID: 37183400 Free PMC article.

10

Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs.

Lee T, Ahn SY, Kim J, Park JS, Kwon BS, Choi SM, Goo JM, Park CM, Nam JG. Lee T, et al. Among authors: kim j. Eur Radiol. 2024 Jul;34(7):4206-4217. doi: 10.1007/s00330-023-10501-w. Epub 2023 Dec 19. Eur Radiol. 2024. PMID: 38112764

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