Hwang D - Search Results

1

Association of the vitamin D receptor start codon polymorphism (FokI) with bone mineral density in postmenopausal Korean women.

Choi YM, Jun JK, Choe J, Hwang D, Park SH, Ku SY, Kang D, Kim JG, Moon SY, Lee JY. Choi YM, et al. Among authors: hwang d. J Hum Genet. 2000;45(5):280-3. doi: 10.1007/s100380070016. J Hum Genet. 2000. PMID: 11043509

2

Carrier detection and prenatal diagnosis of hemophilia A in a Korean population by PCR-based analysis of the BclI/intron 18 and St14 VNTR polymorphisms.

Choi YM, Hwang D, Choe J, Jun JK, Kim EJ, Moon SY, Cho S. Choi YM, et al. Among authors: hwang d. J Hum Genet. 2000;45(4):218-23. doi: 10.1007/s100380070030. J Hum Genet. 2000. PMID: 10944851

3

Characterization of microsatellite markers adjacent to AP-4 on chromosome 16p13.3.

Bae Y, Kim H, Namgoong H, Baek M, Lee J, Hwang D, Hwang Y, Ahn C, Kang S. Bae Y, et al. Among authors: hwang y, hwang d. Mol Cell Probes. 2001 Oct;15(5):313-5. doi: 10.1006/mcpr.2001.0375. Mol Cell Probes. 2001. PMID: 11735304

4

Moderating effect of APOE ε4 on the relationship between sleep-wake cycle and brain β-amyloid.

Hwang JY, Byun MS, Choe YM, Lee JH, Yi D, Choi JW, Hwang SH, Lee YJ, Lee DY; KBASE Research Group. Hwang JY, et al. Among authors: hwang sh. Neurology. 2018 Mar 27;90(13):e1167-e1173. doi: 10.1212/WNL.0000000000005193. Epub 2018 Feb 28. Neurology. 2018. PMID: 29490913

5

Generation of PET Attenuation Map for Whole-Body Time-of-Flight ¹⁸F-FDG PET/MRI Using a Deep Neural Network Trained with Simultaneously Reconstructed Activity and Attenuation Maps.

Hwang D, Kang SK, Kim KY, Seo S, Paeng JC, Lee DS, Lee JS. Hwang D, et al. J Nucl Med. 2019 Aug;60(8):1183-1189. doi: 10.2967/jnumed.118.219493. Epub 2019 Jan 25. J Nucl Med. 2019. PMID: 30683763 Free PMC article.

6

Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry.

Lee MS, Hwang D, Kim JH, Lee JS. Lee MS, et al. Among authors: hwang d. Sci Rep. 2019 Jul 16;9(1):10308. doi: 10.1038/s41598-019-46620-y. Sci Rep. 2019. PMID: 31311963 Free PMC article.

7

Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography.

Hwang D, Kang SK, Kim KY, Choi H, Lee JS. Hwang D, et al. Eur J Nucl Med Mol Imaging. 2022 May;49(6):1833-1842. doi: 10.1007/s00259-021-05637-0. Epub 2021 Dec 9. Eur J Nucl Med Mol Imaging. 2022. PMID: 34882262

8

Multi-modal co-learning with attention mechanism for head and neck tumor segmentation on ¹⁸FDG PET-CT.

Cho MJ, Hwang D, Yie SY, Lee JS. Cho MJ, et al. Among authors: hwang d. EJNMMI Phys. 2024 Jul 25;11(1):67. doi: 10.1186/s40658-024-00670-y. EJNMMI Phys. 2024. PMID: 39052194 Free PMC article.

9

Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning.

Hwang D, Kim KY, Kang SK, Seo S, Paeng JC, Lee DS, Lee JS. Hwang D, et al. J Nucl Med. 2018 Oct;59(10):1624-1629. doi: 10.2967/jnumed.117.202317. Epub 2018 Feb 15. J Nucl Med. 2018. PMID: 29449446 Free article.

10

CT-free quantitative SPECT for automatic evaluation of %thyroid uptake based on deep-learning.

Kwon K, Hwang D, Oh D, Kim JH, Yoo J, Lee JS, Lee WW. Kwon K, et al. Among authors: hwang d. EJNMMI Phys. 2023 Mar 22;10(1):20. doi: 10.1186/s40658-023-00536-9. EJNMMI Phys. 2023. PMID: 36947267 Free PMC article.

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