Year |
Citation |
Score |
2020 |
Kim S, Jang H, Jang J, Lee YH, Hwang D. Deep-learned short tau inversion recovery imaging using multi-contrast MR images. Magnetic Resonance in Medicine. PMID 32479671 DOI: 10.1002/Mrm.28327 |
0.419 |
|
2020 |
Eo T, Shin H, Jun Y, Kim T, Hwang D. Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. Medical Image Analysis. 63: 101689. PMID 32299061 DOI: 10.1016/J.Media.2020.101689 |
0.364 |
|
2020 |
Jang H, Bang K, Jang J, Hwang D. Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation Ieee Access. 8: 38554-38567. DOI: 10.1109/Access.2020.2975857 |
0.436 |
|
2019 |
Hwang D, Kim DE. Special features on intelligent imaging and analysis Applied Sciences. 9: 4804. DOI: 10.3390/App9224804 |
0.369 |
|
2018 |
Kim S, Bae WC, Masuda K, Chung CB, Hwang D. Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines. Applied Sciences (Basel, Switzerland). 8. PMID 30637136 DOI: 10.3390/App8091586 |
0.424 |
|
2018 |
Kim S, Bae WC, Masuda K, Chung CB, Hwang D. Fine-Grain Segmentation of the Intervertebral Discs from MR Spine Images Using Deep Convolutional Neural Networks: BSU-Net. Applied Sciences (Basel, Switzerland). 8. PMID 30637135 DOI: 10.3390/App8091656 |
0.346 |
|
2018 |
Oh D, Kim S, Park D, Choi S, Song H, Choi Y, Moon S, Baek J, Hwang D. Correction of severe beam-hardening artifacts via a high-order linearization function using a prior-image-based parameter selection method. Medical Physics. PMID 29959771 DOI: 10.1002/Mp.13072 |
0.354 |
|
2018 |
Jun Y, Eo T, Kim T, Shin H, Hwang D, Bae SH, Park YW, Lee HJ, Choi BW, Ahn SS. Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors. Scientific Reports. 8: 9450. PMID 29930257 DOI: 10.1038/S41598-018-27742-1 |
0.388 |
|
2018 |
Eo T, Jun Y, Kim T, Jang J, Lee HJ, Hwang D. KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images. Magnetic Resonance in Medicine. PMID 29624729 DOI: 10.1002/Mrm.27201 |
0.361 |
|
2018 |
Jang J, Bang K, Jang H, Hwang D. Quality evaluation of no-reference MR images using multidirectional filters and image statistics. Magnetic Resonance in Medicine. PMID 29383737 DOI: 10.1002/Mrm.27084 |
0.412 |
|
2018 |
Jang J, Jang H, Eo T, Bang K, Hwang D. No-reference automatic quality assessment for colorfulness-adjusted, contrast-adjusted, and sharpness-adjusted images using high-dynamic-range-derived features Applied Sciences. 8: 1688. DOI: 10.3390/App8091688 |
0.335 |
|
2018 |
Jang H, Bang K, Jang J, Hwang D. Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System Ieee Access. 6: 52058-52072. DOI: 10.1109/Access.2018.2870295 |
0.394 |
|
2017 |
Oh D, Kim S, Park D, Hwang D. Beam hardening correction using length linearization Proceedings of Spie. 10132. DOI: 10.1117/12.2254510 |
0.372 |
|
2016 |
Hwang D, Kim S, Abeydeera NA, Statum S, Masuda K, Chung CB, Siriwanarangsun P, Bae WC. Quantitative magnetic resonance imaging of the lumbar intervertebral discs. Quantitative Imaging in Medicine and Surgery. 6: 744-755. PMID 28090450 DOI: 10.21037/Qims.2016.12.09 |
0.358 |
|
2016 |
Eo T, Kim T, Jun Y, Lee H, Ahn SS, Kim DH, Hwang D. High-SNR multiple T2 (*)-contrast magnetic resonance imaging using a robust denoising method based on tissue characteristics. Journal of Magnetic Resonance Imaging : Jmri. PMID 27635526 DOI: 10.1002/Jmri.25477 |
0.365 |
|
2016 |
Oh D, Hwang D, Kim Y. Line-ratio based ring artifact correction method using transfer function Proceedings of Spie. 9783: 978335. DOI: 10.1117/12.2217113 |
0.343 |
|
2015 |
Park H, Hwang D, Seo J. Metal Artifact Reduction for Polychromatic X-ray CT based on a Beam Hardening Corrector. Ieee Transactions On Medical Imaging. PMID 26390451 DOI: 10.1109/Tmi.2015.2478905 |
0.327 |
|
2014 |
Gho SM, Liu C, Li W, Jang U, Kim EY, Hwang D, Kim DH. Susceptibility map-weighted imaging (SMWI) for neuroimaging. Magnetic Resonance in Medicine. 72: 337-46. PMID 24006248 DOI: 10.1002/Mrm.24920 |
0.375 |
|
2014 |
Hwang D, Zeng GL. Special issue on medical imaging Biomedical Engineering Letters. 4: 1-2. DOI: 10.1007/S13534-014-0127-1 |
0.609 |
|
2013 |
Jang U, Nam Y, Kim DH, Hwang D. Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising Neuroimage. 70: 308-316. PMID 23296184 DOI: 10.1016/J.Neuroimage.2012.12.067 |
0.404 |
|
2012 |
Jang U, Hwang D. High-quality multiple T(2)(*) contrast MR images from low-quality multi-echo images using temporal-domain denoising methods. Medical Physics. 39: 468-74. PMID 22225317 DOI: 10.1118/1.3671934 |
0.41 |
|
2011 |
Hwang D, Lee JW, Zeng GL. SPECT Reconstruction with Sub-Sinogram Acquisitions. International Journal of Imaging Systems and Technology. 21: 247-252. PMID 28936032 DOI: 10.1002/Ima.20290 |
0.582 |
|
2011 |
Hwang D, Chung H, Nam Y, Du YP, Jang U. Robust mapping of the myelin water fraction in the presence of noise: synergic combination of anisotropic diffusion filter and spatially regularized nonnegative least squares algorithm. Journal of Magnetic Resonance Imaging : Jmri. 34: 189-95. PMID 21618330 DOI: 10.1002/Jmri.22586 |
0.35 |
|
2009 |
Hwang D, Du YP. Improved myelin water quantification using spatially regularized non-negative least squares algorithm. Journal of Magnetic Resonance Imaging : Jmri. 30: 203-8. PMID 19557738 DOI: 10.1002/Jmri.21783 |
0.395 |
|
2006 |
Hwang D, Zeng GL. Convergence study of an accelerated ML-EM algorithm using bigger step size. Physics in Medicine and Biology. 51: 237-52. PMID 16394336 DOI: 10.1088/0031-9155/51/2/004 |
0.578 |
|
2005 |
Hwang D, Zeng GL. A new simple iterative reconstruction algorithm for SPECT transmission measurement. Medical Physics. 32: 2312-2319. PMID 28493565 DOI: 10.1118/1.1944288 |
0.557 |
|
2005 |
Hwang D, Zeng GL. A new simple iterative reconstruction algorithm for SPECT transmission measurement. Medical Physics. 32: 2312-9. PMID 16121587 DOI: 10.1118/1.1944288 |
0.557 |
|
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