Lee SM - Search Results

1

Prognostic Value of Preoperative N Subcategories in Patients with Stage IIIA N2 Non-Small Cell Lung Cancer.

Oh NE, Choe J, Yun JK, Ji W, Kim S, Chae EJ, Lee SM, Seo JB. Oh NE, et al. Among authors: lee sm. Radiol Cardiothorac Imaging. 2024 Aug;6(4):e230347. doi: 10.1148/ryct.230347. Radiol Cardiothorac Imaging. 2024. PMID: 38990133 Free PMC article.

2

Usefulness of CT volumetry for primary gastric lesions in predicting pathologic response to neoadjuvant chemotherapy in advanced gastric cancer.

Lee SM, Kim SH, Lee JM, Im SA, Bang YJ, Kim WH, Kim MA, Yang HK, Lee HJ, Kang WJ, Han JK, Choi BI. Lee SM, et al. Among authors: lee jm, lee hj. Abdom Imaging. 2009 Jul;34(4):430-40. doi: 10.1007/s00261-008-9420-8. Abdom Imaging. 2009. PMID: 18546037 Clinical Trial.

3

Optimal threshold of subtraction method for quantification of air-trapping on coregistered CT in COPD patients.

Lee SM, Seo JB, Lee SM, Kim N, Oh SY, Oh YM. Lee SM, et al. Eur Radiol. 2016 Jul;26(7):2184-92. doi: 10.1007/s00330-015-4070-z. Epub 2015 Oct 29. Eur Radiol. 2016. PMID: 26515547

4

Texture-Based Automated Quantitative Assessment of Regional Patterns on Initial CT in Patients With Idiopathic Pulmonary Fibrosis: Relationship to Decline in Forced Vital Capacity.

Park HJ, Lee SM, Song JW, Lee SM, Oh SY, Kim N, Seo JB. Park HJ, et al. Among authors: lee sm. AJR Am J Roentgenol. 2016 Nov;207(5):976-983. doi: 10.2214/AJR.16.16054. Epub 2016 Aug 17. AJR Am J Roentgenol. 2016. PMID: 27533069

5

Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.

Hwang J, Oh YM, Lee M, Choi S, Seo JB, Lee SM, Kim N. Hwang J, et al. Among authors: lee sm, lee m. Eur Radiol. 2019 Jan;29(1):176-185. doi: 10.1007/s00330-018-5551-7. Epub 2018 Jun 29. Eur Radiol. 2019. PMID: 29959456

6

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: lee jb, lee sm, lee jg. Eur Radiol. 2019 Feb;29(2):915-923. doi: 10.1007/s00330-018-5639-0. Epub 2018 Jul 27. Eur Radiol. 2019. PMID: 30054795

7

CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Lee SM, Lee JG, Lee G, Choe J, Do KH, Kim N, Seo JB. Lee SM, et al. Among authors: lee g, lee jg. Korean J Radiol. 2019 Feb;20(2):295-303. doi: 10.3348/kjr.2018.0249. Korean J Radiol. 2019. PMID: 30672169 Free PMC article.

8

Prediction of Treatment Response in Patients with Chronic Obstructive Pulmonary Disease by Determination of Airway Dimensions with Baseline Computed Tomography.

Park HJ, Lee SM, Choe J, Lee SM, Kim N, Lee JS, Oh YM, Seo JB. Park HJ, et al. Among authors: lee js, lee sm. Korean J Radiol. 2019 Feb;20(2):304-312. doi: 10.3348/kjr.2018.0204. Korean J Radiol. 2019. PMID: 30672170 Free PMC article.

9

Prediction of Pulmonary Function in Patients with Chronic Obstructive Pulmonary Disease: Correlation with Quantitative CT Parameters.

Koo HJ, Lee SM, Seo JB, Lee SM, Kim N, Oh SY, Lee JS, Oh YM. Koo HJ, et al. Among authors: lee js, lee sm. Korean J Radiol. 2019 Apr;20(4):683-692. doi: 10.3348/kjr.2018.0391. Korean J Radiol. 2019. PMID: 30887750 Free PMC article.

10

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: lee sm. Eur Radiol. 2019 Oct;29(10):5341-5348. doi: 10.1007/s00330-019-06130-x. Epub 2019 Mar 26. Eur Radiol. 2019. PMID: 30915557

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