Park HJ - Search Results

1

Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients.

Lee W, Park HJ, Lee HJ, Jun E, Song KB, Hwang DW, Lee JH, Lim K, Kim N, Lee SS, Byun JH, Kim HJ, Kim SC. Lee W, et al. Among authors: park hj. Int J Surg. 2022 Sep;105:106851. doi: 10.1016/j.ijsu.2022.106851. Epub 2022 Aug 29. Int J Surg. 2022. PMID: 36049618

2

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. 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

3

Intravoxel incoherent motion diffusion-weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters.

Park HJ, Sung YS, Lee SS, Lee Y, Cheong H, Kim YJ, Lee MG. Park HJ, et al. J Magn Reson Imaging. 2017 Jun;45(6):1637-1647. doi: 10.1002/jmri.25535. Epub 2016 Nov 16. J Magn Reson Imaging. 2017. PMID: 27865032

4

Intraductal Papillary Neoplasm of the Bile Duct: Clinical, Imaging, and Pathologic Features.

Park HJ, Kim SY, Kim HJ, Lee SS, Hong GS, Byun JH, Hong SM, Lee MG. Park HJ, et al. AJR Am J Roentgenol. 2018 Jul;211(1):67-75. doi: 10.2214/AJR.17.19261. Epub 2018 Apr 9. AJR Am J Roentgenol. 2018. PMID: 29629808 Review.

5

Radiomics Analysis of Gadoxetic Acid-enhanced MRI for Staging Liver Fibrosis.

Park HJ, Lee SS, Park B, Yun J, Sung YS, Shim WH, Shin YM, Kim SY, Lee SJ, Lee MG. Park HJ, et al. Among authors: park b. Radiology. 2019 Feb;290(2):380-387. doi: 10.1148/radiol.2018181197. Epub 2018 Dec 4. Radiology. 2019. PMID: 30615554

6

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. Korean J Radiol. 2019 Feb;20(2):304-312. doi: 10.3348/kjr.2018.0204. Korean J Radiol. 2019. PMID: 30672170 Free PMC article.

7

Non-enhanced magnetic resonance imaging as a surveillance tool for hepatocellular carcinoma: Comparison with ultrasound.

Park HJ, Jang HY, Kim SY, Lee SJ, Won HJ, Byun JH, Choi SH, Lee SS, An J, Lim YS. Park HJ, et al. J Hepatol. 2020 Apr;72(4):718-724. doi: 10.1016/j.jhep.2019.12.001. Epub 2019 Dec 10. J Hepatol. 2020. PMID: 31836549 Clinical Trial.

8

Radiomics and Deep Learning: Hepatic Applications.

Park HJ, Park B, Lee SS. Park HJ, et al. Among authors: park b. Korean J Radiol. 2020 Apr;21(4):387-401. doi: 10.3348/kjr.2019.0752. Korean J Radiol. 2020. PMID: 32193887 Free PMC article. Review.

9

Comparison between neuroendocrine carcinomas and well-differentiated neuroendocrine tumors of the pancreas using dynamic enhanced CT.

Park HJ, Kim HJ, Kim KW, Kim SY, Choi SH, You MW, Hwang HS, Hong SM. Park HJ, et al. Eur Radiol. 2020 Sep;30(9):4772-4782. doi: 10.1007/s00330-020-06867-w. Epub 2020 Apr 28. Eur Radiol. 2020. PMID: 32346794

10

Radiomics and deep learning in liver diseases.

Sung YS, Park B, Park HJ, Lee SS. Sung YS, et al. Among authors: park b, park hj. J Gastroenterol Hepatol. 2021 Mar;36(3):561-568. doi: 10.1111/jgh.15414. J Gastroenterol Hepatol. 2021. PMID: 33709608

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