Choi H - Search Results

1

A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography.

Choi H, Kim H, Jin KN, Jeong YJ, Chae KJ, Lee KH, Yong HS, Gil B, Lee HJ, Lee KY, Jeon KN, Yi J, Seo S, Ahn C, Lee J, Oh K, Goo JM. Choi H, et al. J Thorac Imaging. 2022 Jul 1;37(4):253-261. doi: 10.1097/RTI.0000000000000647. Epub 2022 Apr 5. J Thorac Imaging. 2022. PMID: 35749623

2

Quantitative image analysis using chest computed tomography in the evaluation of lymph node involvement in pulmonary sarcoidosis and tuberculosis.

Lee CU, Chong S, Choi HW, Choi JC. Lee CU, et al. PLoS One. 2018 Nov 26;13(11):e0207959. doi: 10.1371/journal.pone.0207959. eCollection 2018. PLoS One. 2018. PMID: 30475907 Free PMC article.

3

Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

Hwang EJ, Hong JH, Lee KH, Kim JI, Nam JG, Kim DS, Choi H, Yoo SJ, Goo JM, Park CM. Hwang EJ, et al. Among authors: choi h. Eur Radiol. 2020 Jul;30(7):3660-3671. doi: 10.1007/s00330-020-06771-3. Epub 2020 Mar 11. Eur Radiol. 2020. PMID: 32162001

4

Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

Choi H, Kim H, Hong W, Park J, Hwang EJ, Park CM, Kim YT, Goo JM. Choi H, et al. Eur Radiol. 2021 May;31(5):2866-2876. doi: 10.1007/s00330-020-07431-2. Epub 2020 Oct 30. Eur Radiol. 2021. PMID: 33125556

5

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.

Nam JG, Ahn C, Choi H, Hong W, Park J, Kim JH, Goo JM. Nam JG, et al. Among authors: choi h. Eur Radiol. 2021 Jul;31(7):5139-5147. doi: 10.1007/s00330-020-07537-7. Epub 2021 Jan 7. Eur Radiol. 2021. PMID: 33415436

6

Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.

Nam JG, Ahn C, Choi H, Hong W, Park J, Kim JH, Goo JM. Nam JG, et al. Among authors: choi h. Eur Radiol. 2021 Aug;31(8):6410. doi: 10.1007/s00330-021-07733-z. Eur Radiol. 2021. PMID: 33590320 No abstract available.

7

Central Tumor Location at Chest CT Is an Adverse Prognostic Factor for Disease-Free Survival of Node-Negative Early-Stage Lung Adenocarcinomas.

Choi H, Kim H, Park CM, Kim YT, Goo JM. Choi H, et al. Radiology. 2021 May;299(2):438-447. doi: 10.1148/radiol.2021203937. Epub 2021 Feb 23. Radiology. 2021. PMID: 33620290

8

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation.

Choi H, Qi X, Yoon SH, Park SJ, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, Park CM, Kim YH, Lei J, Hong JH, Kim H, Hwang EJ, Yoo SJ, Nam JG, Lee CH, Goo JM. Choi H, et al. Radiol Cardiothorac Imaging. 2020 Mar 30;2(2):e200107. doi: 10.1148/ryct.2020200107. eCollection 2020 Apr. Radiol Cardiothorac Imaging. 2020. PMID: 33778565 Free PMC article.

9

Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning-based Detection Algorithm.

Nam JG, Hwang EJ, Kim DS, Yoo SJ, Choi H, Goo JM, Park CM. Nam JG, et al. Among authors: choi h. Radiol Cardiothorac Imaging. 2020 Dec 10;2(6):e190222. doi: 10.1148/ryct.2020190222. eCollection 2020 Dec. Radiol Cardiothorac Imaging. 2020. PMID: 33778635 Free PMC article.

10

Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation.

Choi H, Qi X, Yoon SH, Park SJ, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, Park CM, Kim YH, Lei J, Hong JH, Kim H, Hwang EJ, Yoo SJ, Nam JG, Lee CH, Goo JM. Choi H, et al. Radiol Cardiothorac Imaging. 2020 Apr 6;2(2):e204001. doi: 10.1148/ryct.2020204001. eCollection 2020 Apr. Radiol Cardiothorac Imaging. 2020. PMID: 33779627 Free PMC article.

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