Seo JB - Search Results

1

Prognostic performance of the N category in the 9th edition of lung cancer staging.

Ahn Y, Lee SM, Choe J, Choi S, Do KH, Seo JB. Ahn Y, et al. Among authors: seo jb. Eur Radiol. 2024 Dec 20. doi: 10.1007/s00330-024-11318-x. Online ahead of print. Eur Radiol. 2024. PMID: 39704801

2

Doubling time of thymic epithelial tumours on CT: correlation with histological subtype.

Choe J, Lee SM, Lim S, Choi SH, Kim N, Do KH, Seo JB. Choe J, et al. Among authors: seo jb. Eur Radiol. 2017 Oct;27(10):4030-4036. doi: 10.1007/s00330-017-4795-y. Epub 2017 Mar 22. Eur Radiol. 2017. PMID: 28332015

3

Evaluation of postoperative lung volume and perfusion changes by dual-energy computed tomography in patients with lung cancer.

Choe J, Lee SM, Chae EJ, Lee SM, Kim YH, Kim N, Seo JB. Choe J, et al. Among authors: seo jb. Eur J Radiol. 2017 May;90:166-173. doi: 10.1016/j.ejrad.2017.02.040. Epub 2017 Mar 2. Eur J Radiol. 2017. PMID: 28583629

4

Volume doubling time of lung cancer detected in idiopathic interstitial pneumonia: comparison with that in chronic obstructive pulmonary disease.

Kim C, Lee SM, Choe J, Chae EJ, Do KH, Seo JB. Kim C, et al. Among authors: seo jb. Eur Radiol. 2018 Apr;28(4):1402-1409. doi: 10.1007/s00330-017-5091-6. Epub 2017 Oct 16. Eur Radiol. 2018. PMID: 29038933

5

Prognostic value of radiomic analysis of iodine overlay maps from dual-energy computed tomography in patients with resectable lung cancer.

Choe J, Lee SM, Do KH, Lee JB, Lee SM, Lee JG, Seo JB. Choe J, et al. Among authors: seo jb. Eur Radiol. 2019 Feb;29(2):915-923. doi: 10.1007/s00330-018-5639-0. Epub 2018 Jul 27. Eur Radiol. 2019. PMID: 30054795

6

Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy.

Park S, Lee SM, Kim N, Choe J, Cho Y, Do KH, Seo JB. Park S, et al. Among authors: seo jb. Eur Radiol. 2019 Oct;29(10):5341-5348. doi: 10.1007/s00330-019-06130-x. Epub 2019 Mar 26. Eur Radiol. 2019. PMID: 30915557

7

Volume Doubling Times of Lung Adenocarcinomas: Correlation with Predominant Histologic Subtypes and Prognosis.

Park S, Lee SM, Kim S, Lee JG, Choi S, Do KH, Seo JB. Park S, et al. Among authors: seo jb. Radiology. 2020 Jun;295(3):703-712. doi: 10.1148/radiol.2020191835. Epub 2020 Mar 31. Radiology. 2020. PMID: 32228296

8

Differentiation of predominant subtypes of lung adenocarcinoma using a quantitative radiomics approach on CT.

Park S, Lee SM, Noh HN, Hwang HJ, Kim S, Do KH, Seo JB. Park S, et al. Among authors: seo jb. Eur Radiol. 2020 Sep;30(9):4883-4892. doi: 10.1007/s00330-020-06805-w. Epub 2020 Apr 16. Eur Radiol. 2020. PMID: 32300970

9

Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.

Choe J, Lee SM, Do KH, Kim S, Choi S, Lee JG, Seo JB. Choe J, et al. Among authors: seo jb. Eur Radiol. 2020 Sep;30(9):4952-4963. doi: 10.1007/s00330-020-06872-z. Epub 2020 Apr 30. Eur Radiol. 2020. PMID: 32356158

10

Performance of radiomics models for survival prediction in non-small-cell lung cancer: influence of CT slice thickness.

Park S, Lee SM, Kim S, Choi S, Kim W, Do KH, Seo JB. Park S, et al. Among authors: seo jb. Eur Radiol. 2021 May;31(5):2856-2865. doi: 10.1007/s00330-020-07423-2. Epub 2020 Oct 30. Eur Radiol. 2021. PMID: 33128185

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