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Eung-Yeop Kim
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2020 – today
- 2023
- [j13]Minjung Seong
, Seongbeom Park
Diagnostic performance of a high-spatial-resolution voxelwise analysis of neuromelanin-sensitive imaging in early-stage idiopathic Parkinson's disease. BMC Medical Imaging 23(1): 64 (2023) - [i4]Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung-Yeop Kim, Mohammed A. Al-masni, Dong-Hyun Kim:
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. CoRR abs/2306.13020 (2023) - 2022
- [j12]Sooyeon Ji
Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial. NeuroImage 264: 119706 (2022) - [c5]Inhwa Han, Boah Kim
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS 2022: 262-265 - 2021
- [j11]Mohammed A. Al-Masni
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. IEEE Access 9: 11787-11797 (2021) - [j10]Eunju Cha
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging 40(1): 166-179 (2021) - [j9]Serin Yang
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. IEEE Trans. Medical Imaging 40(11): 3015-3029 (2021) - 2020
- [j8]Woojin Jung
Exploring linearity of deep neural network trained QSM: QSMnet+. NeuroImage 211: 116619 (2020) - [c4]Mohammed A. Al-masni
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. EMBC 2020: 1055-1058 - [i3]Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR abs/2003.13096 (2020) - [i2]Serin Yang, Eung-Yeop Kim, Jong Chul Ye:
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN. CoRR abs/2011.13150 (2020)
2010 – 2019
- 2018
- [j7]Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic
Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 179: 199-206 (2018) - [c3]Eunju Cha
Improved Time-Resolved MRA Using k-Space Deep Learning. MLMIR@MICCAI 2018: 47-54 - [i1]Eunju Cha, Eung-Yeop Kim, Jong Chul Ye:
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. CoRR abs/1806.00806 (2018) - 2017
- [j6]Suhyung Park, Eung-Yeop Kim
Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation. IEEE Trans. Medical Imaging 36(2): 584-595 (2017) - 2016
- [c2]Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. ISBI 2016: 314-317 - 2014
- [c1]Dongwook Lee
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. ISBI 2014: 645-648 - 2012
- [j5]Hyunyeol Lee, Eung-Yeop Kim
Susceptibility-resistant variable-flip-angle turbo spin echo imaging for reliable estimation of cortical thickness: A feasibility study. NeuroImage 59(1): 377-388 (2012) - 2011
- [j4]Dong Keun Kim, Eung-Yeop Kim
A Mobile Tele-Radiology Imaging System with JPEG2000 for an Emergency Care. J. Digit. Imaging 24(4): 709-718 (2011)
2000 – 2009
- 2009
- [j3]Hae-Jeong Park
Morphological alterations in the congenital blind based on the analysis of cortical thickness and surface area. NeuroImage 47(1): 98-106 (2009) - 2008
- [j2]Hae-Jeong Park
SENSE factors for reliable cortical thickness measurement. NeuroImage 40(1): 187-196 (2008) - 2007
- [j1]Jong Doo Lee, Hae-Jeong Park
Assessment of regional GABAA receptor binding using 18F-fluoroflumazenil positron emission tomography in spastic type cerebral palsy. NeuroImage 34(1): 19-25 (2007)
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