Shim H - Search Results

1

Knee cartilage: efficient and reproducible segmentation on high-spatial-resolution MR images with the semiautomated graph-cut algorithm method.

Shim H, Chang S, Tao C, Wang JH, Kwoh CK, Bae KT. Shim H, et al. Radiology. 2009 May;251(2):548-56. doi: 10.1148/radiol.2512081332. Radiology. 2009. PMID: 19401579

2

Semiautomated segmentation of kidney from high-resolution multidetector computed tomography images using a graph-cuts technique.

Shim H, Chang S, Tao C, Wang JH, Kaya D, Bae KT. Shim H, et al. J Comput Assist Tomogr. 2009 Nov-Dec;33(6):893-901. doi: 10.1097/RCT.0b013e3181a5cc16. J Comput Assist Tomogr. 2009. PMID: 19940657

3

Quantitative evaluation of k-space reordering schemes for compatible dual-echo arteriovenography (CODEA).

Park SH, Shim H, Moon CH, Kim JH, Bae KT. Park SH, et al. Among authors: shim h. Magn Reson Med. 2010 May;63(5):1404-10. doi: 10.1002/mrm.22304. Magn Reson Med. 2010. PMID: 20432312 Free article.

4

JPEG2000 2D and 3D reversible compressions of thin-section chest CT images: improving compressibility by increasing data redundancy outside the body region.

Kim KJ, Lee KH, Kim B, Richter T, Yun ID, Lee SU, Bae KT, Shim H. Kim KJ, et al. Among authors: shim h. Radiology. 2011 Apr;259(1):271-7. doi: 10.1148/radiol.10100722. Epub 2011 Feb 15. Radiology. 2011. PMID: 21325033

5

Feasibility of Selective Catheter-Directed Coronary Computed Tomography Angiography Using Ultralow-Dose Intracoronary Contrast Injection in a Swine Model.

Hong Y, Shin S, Park HB, Lee BK, Arsanjani R, ó Hartaigh B, Ha S, Jang Y, Jeon B, Jung S, Park SI, Sung JM, Shim H, Chang HJ. Hong Y, et al. Among authors: shim h. Invest Radiol. 2015 Jul;50(7):449-55. doi: 10.1097/RLI.0000000000000150. Invest Radiol. 2015. PMID: 25816215

6

A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms.

Otgonbaatar C, Kim H, Jeon PH, Jeon SH, Cha SJ, Ryu JK, Jung WB, Shim H, Ko SM, Kim JW. Otgonbaatar C, et al. Among authors: shim h. Br J Radiol. 2024 Aug 1;97(1160):1492-1500. doi: 10.1093/bjr/tqae117. Br J Radiol. 2024. PMID: 38917414

7

Feasibility of an automatic computer-assisted algorithm for the detection of significant coronary artery disease in patients presenting with acute chest pain.

Kang KW, Chang HJ, Shim H, Kim YJ, Choi BW, Yang WI, Shim JY, Ha J, Chung N. Kang KW, et al. Among authors: shim jy, shim h. Eur J Radiol. 2012 Apr;81(4):e640-6. doi: 10.1016/j.ejrad.2012.01.017. Epub 2012 Feb 2. Eur J Radiol. 2012. PMID: 22304980

8

Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening.

Kwak K, Yoon U, Lee DK, Kim GH, Seo SW, Na DL, Shim HJ, Lee JM. Kwak K, et al. Magn Reson Imaging. 2013 Sep;31(7):1190-6. doi: 10.1016/j.mri.2013.04.008. Epub 2013 May 16. Magn Reson Imaging. 2013. PMID: 23684964

9

A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study.

Chae SY, Suh S, Ryoo I, Park A, Noh KJ, Shim H, Seol HY. Chae SY, et al. Among authors: shim h. Neuroradiology. 2017 May;59(5):461-469. doi: 10.1007/s00234-017-1790-6. Epub 2017 Mar 24. Neuroradiology. 2017. PMID: 28341992

10

Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.

Ryu JK, Kim KH, Otgonbaatar C, Kim DS, Shim H, Seo JW. Ryu JK, et al. Among authors: shim h. Br J Radiol. 2024 Jun 18;97(1159):1286-1294. doi: 10.1093/bjr/tqae094. Br J Radiol. 2024. PMID: 38733576

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