Lee JH - Search Results

1

Comparison of tissue tracking assessment by cardiovascular magnetic resonance for cardiac amyloidosis and hypertrophic cardiomyopathy.

Jung HN, Kim SM, Lee JH, Kim Y, Lee SC, Jeon ES, Yong HS, Choe YH. Jung HN, et al. Among authors: lee jh, lee sc. Acta Radiol. 2020 Jul;61(7):885-893. doi: 10.1177/0284185119883714. Epub 2019 Nov 4. Acta Radiol. 2020. PMID: 31684748

2

Magnetic resonance elastography as a preoperative assessment for predicting intrahepatic recurrence in patients with hepatocellular carcinoma.

Lee JH, Hwang JA, Gu K, Shin J, Han S, Kim YK. Lee JH, et al. Magn Reson Imaging. 2024 Jun;109:127-133. doi: 10.1016/j.mri.2024.03.014. Epub 2024 Mar 19. Magn Reson Imaging. 2024. PMID: 38513784

3

Interobserver Variability and Diagnostic Performance in Predicting Malignancy of Pancreatic Intraductal Papillary Mucinous Neoplasm with MRI.

Choi SY, Min JH, Kim JH, Park HJ, Kim YY, Han YE, Bae SH, Lee JH, Choi YH, Moon JE. Choi SY, et al. Among authors: lee jh. Radiology. 2023 Jul;308(1):e222463. doi: 10.1148/radiol.222463. Radiology. 2023. PMID: 37489989

4

Predicting clinical outcome with phenotypic clusters using quantitative CT fibrosis and emphysema features in patients with idiopathic pulmonary fibrosis.

Bak SH, Park HY, Nam JH, Lee HY, Lee JH, Sohn I, Chung MP. Bak SH, et al. Among authors: lee jh, lee hy. PLoS One. 2019 Apr 18;14(4):e0215303. doi: 10.1371/journal.pone.0215303. eCollection 2019. PLoS One. 2019. PMID: 30998772 Free PMC article. Clinical Trial.

5

Clinical significance of CA 19-9 elevation during postoperative surveillance for extrahepatic bile duct cancer: a nomogram-based approach for the prediction of short-term recurrence.

Kwon YJ, Min JH, Hwang JA, Kim SH, Kim YK, Kim H, Gu K, Lee JH, Shin J, Choi SY, Baek SY. Kwon YJ, et al. Among authors: lee jh. HPB (Oxford). 2024 Nov 5:S1365-182X(24)02385-2. doi: 10.1016/j.hpb.2024.10.015. Online ahead of print. HPB (Oxford). 2024. PMID: 39586759

6

Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization.

Parakh A, Lee H, Lee JH, Eisner BH, Sahani DV, Do S. Parakh A, et al. Among authors: lee h, lee jh. Radiol Artif Intell. 2019 Jul 24;1(4):e180066. doi: 10.1148/ryai.2019180066. eCollection 2019 Jul. Radiol Artif Intell. 2019. PMID: 33937795 Free PMC article.

7

Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features.

Lee JH, Shin J, Min JH, Jeong WK, Kim H, Choi SY, Lee J, Hong S, Kim K. Lee JH, et al. Among authors: lee j. Cancer Imaging. 2024 Jan 8;24(1):6. doi: 10.1186/s40644-024-00653-3. Cancer Imaging. 2024. PMID: 38191489 Free PMC article.

8

nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer.

Yang E, Kim JH, Min JH, Jeong WK, Hwang JA, Lee JH, Shin J, Kim H, Lee SE, Baek SY. Yang E, et al. Among authors: lee jh, lee se. Acad Radiol. 2024 Jul;31(7):2784-2794. doi: 10.1016/j.acra.2024.01.004. Epub 2024 Feb 12. Acad Radiol. 2024. PMID: 38350812

9

How to Optimize Prompting for Large Language Models in Clinical Research.

Lee JH, Shin J. Lee JH, et al. Korean J Radiol. 2024 Oct;25(10):869-873. doi: 10.3348/kjr.2024.0695. Korean J Radiol. 2024. PMID: 39344543 Free PMC article. No abstract available.

10

Using GPT-4 for LI-RADS feature extraction and categorization with multilingual free-text reports.

Gu K, Lee JH, Shin J, Hwang JA, Min JH, Jeong WK, Lee MW, Song KD, Bae SH. Gu K, et al. Among authors: lee mw, lee jh. Liver Int. 2024 Jul;44(7):1578-1587. doi: 10.1111/liv.15891. Epub 2024 Apr 23. Liver Int. 2024. PMID: 38651924

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