Lee YH - Search Results

1

Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout.

Ahn SH, Baek S, Park J, Kim J, Rhee H, Chung YE, Kim H, Lee YH. Ahn SH, et al. Among authors: lee yh. J Imaging Inform Med. 2024 Dec 20. doi: 10.1007/s10278-024-01369-3. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39707112

2

Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety.

Do Y, Ahn SH, Kim S, Kim JK, Choi BW, Kim H, Lee YH. Do Y, et al. Among authors: lee yh. J Med Syst. 2023 Jul 31;47(1):80. doi: 10.1007/s10916-023-01981-w. J Med Syst. 2023. PMID: 37522981

3

Prediction of Bone Marrow Metastases Using Computed Tomography (CT) Radiomics in Patients with Gastric Cancer: Uncovering Invisible Metastases.

Park J, Jung M, Kim SK, Lee YH. Park J, et al. Among authors: lee yh. Diagnostics (Basel). 2024 Aug 5;14(15):1689. doi: 10.3390/diagnostics14151689. Diagnostics (Basel). 2024. PMID: 39125564 Free PMC article.

4

Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility.

Han SC, Chung YE, Lee YH, Park KK, Kim MJ, Kim KW. Han SC, et al. Among authors: lee yh. AJR Am J Roentgenol. 2014 Oct;203(4):788-95. doi: 10.2214/AJR.13.10980. AJR Am J Roentgenol. 2014. PMID: 25247944 Clinical Trial.

5

Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting.

Park J, Oh K, Han K, Lee YH. Park J, et al. Among authors: lee yh. Sci Rep. 2024 Jun 8;14(1):13218. doi: 10.1038/s41598-024-63824-z. Sci Rep. 2024. PMID: 38851825 Free PMC article.

6

Radiation dose reduction via sinogram affirmed iterative reconstruction and automatic tube voltage modulation (CARE kV) in abdominal CT.

Shin HJ, Chung YE, Lee YH, Choi JY, Park MS, Kim MJ, Kim KW. Shin HJ, et al. Among authors: lee yh. Korean J Radiol. 2013 Nov-Dec;14(6):886-93. doi: 10.3348/kjr.2013.14.6.886. Epub 2013 Nov 5. Korean J Radiol. 2013. PMID: 24265563 Free PMC article.

7

Quantitative analysis of the effect of iterative reconstruction using a phantom: determining the appropriate blending percentage.

Kim HG, Chung YE, Lee YH, Choi JY, Park MS, Kim MJ, Kim KW. Kim HG, et al. Among authors: lee yh. Yonsei Med J. 2015 Jan;56(1):253-61. doi: 10.3349/ymj.2015.56.1.253. Yonsei Med J. 2015. PMID: 25510772 Free PMC article.

8

Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)-based reconstruction: prospective, multi-reader, multi-vendor study.

Lee J, Jung M, Park J, Kim S, Im Y, Lee N, Song HT, Lee YH. Lee J, et al. Among authors: lee yh, lee n. Sci Rep. 2023 Oct 12;13(1):17264. doi: 10.1038/s41598-023-44248-7. Sci Rep. 2023. PMID: 37828048 Free PMC article. Clinical Trial.

9

Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography.

Hong N, Cho SW, Shin S, Lee S, Jang SA, Roh S, Lee YH, Rhee Y, Cummings SR, Kim H, Kim KM. Hong N, et al. Among authors: lee yh, lee s. J Bone Miner Res. 2023 Jun;38(6):887-895. doi: 10.1002/jbmr.4814. Epub 2023 May 4. J Bone Miner Res. 2023. PMID: 37038364 Free article.

10

Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.

Lee YH. Lee YH. J Digit Imaging. 2018 Oct;31(5):604-610. doi: 10.1007/s10278-018-0066-y. J Digit Imaging. 2018. PMID: 29619578 Free PMC article.

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