Jin KN - Search Results

1

Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.

Yoo H, Kim EY, Kim H, Choi YR, Kim MY, Hwang SH, Kim YJ, Cho YJ, Jin KN. Yoo H, et al. Among authors: jin kn. Korean J Radiol. 2022 Oct;23(10):1009-1018. doi: 10.3348/kjr.2022.0189. Korean J Radiol. 2022. PMID: 36175002 Free PMC article.

2

Computer-aided detection of malignant lung nodules on chest radiographs: effect on observers' performance.

Lee KH, Goo JM, Park CM, Lee HJ, Jin KN. Lee KH, et al. Among authors: jin kn. Korean J Radiol. 2012 Sep-Oct;13(5):564-71. doi: 10.3348/kjr.2012.13.5.564. Epub 2012 Aug 28. Korean J Radiol. 2012. PMID: 22977323 Free PMC article.

3

Computer-aided classification of visual ventilation patterns in patients with chronic obstructive pulmonary disease at two-phase xenon-enhanced CT.

Yoon SH, Goo JM, Jung J, Hong H, Park EA, Lee CH, Lee Y, Jin KN, Choo JY, Lee NK. Yoon SH, et al. Among authors: jin kn. Korean J Radiol. 2014 May-Jun;15(3):386-96. doi: 10.3348/kjr.2014.15.3.386. Epub 2014 Apr 29. Korean J Radiol. 2014. PMID: 24843245 Free PMC article.

4

Association between Image Characteristics on Chest CT and Severe Pleural Adhesion during Lung Cancer Surgery.

Jin KN, Sung YW, Oh SJ, Choi YR, Cho H, Choi JS, Moon HJ. Jin KN, et al. PLoS One. 2016 May 12;11(5):e0154694. doi: 10.1371/journal.pone.0154694. eCollection 2016. PLoS One. 2016. PMID: 27171235 Free PMC article.

5

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Vu TH, Sohn JH, Hwang S, Goo JM, Park CM. Nam JG, et al. Among authors: jin kn. Radiology. 2019 Jan;290(1):218-228. doi: 10.1148/radiol.2018180237. Epub 2018 Sep 25. Radiology. 2019. PMID: 30251934

6

2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology.

Yoon SH, Lee SM, Park CH, Lee JH, Kim H, Chae KJ, Jin KN, Lee KH, Kim JI, Hong JH, Hwang EJ, Kim H, Suh YJ, Park S, Park YS, Kim DW, Choi M, Park CM. Yoon SH, et al. Among authors: jin kn. Korean J Radiol. 2021 Feb;22(2):263-280. doi: 10.3348/kjr.2020.0137. Epub 2020 Nov 19. Korean J Radiol. 2021. PMID: 33236542 Free PMC article. Review.

7

Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.

Kim EY, Kim YJ, Choi WJ, Lee GP, Choi YR, Jin KN, Cho YJ. Kim EY, et al. Among authors: jin kn. PLoS One. 2021 Feb 19;16(2):e0246472. doi: 10.1371/journal.pone.0246472. eCollection 2021. PLoS One. 2021. PMID: 33606779 Free PMC article.

8

Diagnostic performance of artificial intelligence model for pneumonia from chest radiography.

Kwon T, Lee SP, Kim D, Jang J, Lee M, Kang SU, Kim H, Oh K, On J, Kim YJ, Yun SJ, Jin KN, Kim EY, Kim KG. Kwon T, et al. Among authors: jin kn. PLoS One. 2021 Apr 15;16(4):e0249399. doi: 10.1371/journal.pone.0249399. eCollection 2021. PLoS One. 2021. PMID: 33857181 Free PMC article.

9

Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Choi SY, Park S, Kim M, Park J, Choi YR, Jin KN. Choi SY, et al. Among authors: jin kn. Medicine (Baltimore). 2021 Apr 23;100(16):e25663. doi: 10.1097/MD.0000000000025663. Medicine (Baltimore). 2021. PMID: 33879750 Free PMC article.

10

Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.

Kim EY, Kim YJ, Choi WJ, Lee GP, Choi YR, Jin KN, Cho YJ. Kim EY, et al. Among authors: jin kn. PLoS One. 2021 Apr 28;16(4):e0251045. doi: 10.1371/journal.pone.0251045. eCollection 2021. PLoS One. 2021. PMID: 33909705 Free PMC article.

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