Eung-Yeop Kim

23 papers Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Toward automated detection of microbleeds with anatomical scale localization using deep learning.
Medical Image Anal.
Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung-Yeop Kim, Mohammed A. Al-masni, Donghyun Kim
2023 J jnl
Diagnostic performance of a high-spatial-resolution voxelwise analysis of neuromelanin-sensitive imaging in early-stage idiopathic Parkinson's disease.
BMC Medical Imaging
Minjung Seong, Seongbeom Park, Young Hee Sung, Eung-Yeop Kim
2023 J jnl
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning.
CoRR
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
2022 — conf
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization.
AICAS
Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye
2022 J jnl
Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial.
NeuroImage
Sooyeon Ji, Eun-Jung Choi, Beomseok Sohn, Kyoungwon Baik, Na-Young Shin, Won-Jin Moon, Seongbeom Park, Soohwa Song, Phil Hyu Lee, Dongmyung Shin, Se-Hong Oh, Eung-Yeop Kim, Jongho Lee
2021 J jnl
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention.
IEEE Access
Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim
2021 J jnl
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN.
IEEE Trans. Medical Imaging
Serin Yang, Eung-Yeop Kim, Jong Chul Ye
2021 J jnl
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution.
IEEE Trans. Medical Imaging
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2020 — conf
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection.
EMBC
Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim
2020 J jnl
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN.
CoRR
Serin Yang, Eung-Yeop Kim, Jong Chul Ye
2020 J jnl
Exploring linearity of deep neural network trained QSM: QSMnet
NeuroImage
Woojin Jung, Jaeyeon Yoon, Sooyeon Ji, Joon Yul Choi, Jae Myung Kim, Yoonho Nam, Eung-Yeop Kim, Jongho Lee
2020 J jnl
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution.
CoRR
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2018 — conf
Improved Time-Resolved MRA Using k-Space Deep Learning.
MLMIR@MICCAI
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
2018 J jnl
Quantitative susceptibility mapping using deep neural network: QSMnet.
NeuroImage
Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic, Jin-Gu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung-Yeop Kim, John M. Pauly, Jongho Lee
2018 J jnl
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography.
CoRR
Eunju Cha, Eung-Yeop Kim, Jong Chul Ye
2017 J jnl
Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation.
IEEE Trans. Medical Imaging
Suhyung Park, Eung-Yeop Kim, Chul-Ho Sohn, Jaeseok Park
2016 — conf
Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.
ISBI
Eun Ju Cha, Kyong Hwan Jin, Dongwook Lee, Eung-Yeop Kim, Seung Hong Choi, Jong Chul Ye
2014 — conf
T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty.
ISBI
Dongwook Lee, Eung-Yeop Kim, Huisu Yoon, Sunghong Park, Jong Chul Ye
2012 J jnl
Susceptibility-resistant variable-flip-angle turbo spin echo imaging for reliable estimation of cortical thickness: A feasibility study.
NeuroImage
Hyunyeol Lee, Eung-Yeop Kim, Kyung-Sook Yang, Jaeseok Park
2011 J jnl
A Mobile Tele-Radiology Imaging System with JPEG2000 for an Emergency Care.
J. Digit. Imaging
Dong Keun Kim, Eung-Yeop Kim, Kun H. Yang, Chung Ki Lee, Sun Kook Yoo
2009 J jnl
Morphological alterations in the congenital blind based on the analysis of cortical thickness and surface area.
NeuroImage
Hae-Jeong Park, Jong Doo Lee, Eung-Yeop Kim, Bumhee Park, Maeng-Keun Oh, Sungchul Lee, Jae-Jin Kim
2008 J jnl
SENSE factors for reliable cortical thickness measurement.
NeuroImage
Hae-Jeong Park, Tak Youn, Seok-Oh Jeong, Maeng-Keun Oh, Sei-Young Kim, Eung-Yeop Kim
2007 J jnl
Assessment of regional GABA
NeuroImage
Jong Doo Lee, Hae-Jeong Park, Eun Sook Park, Dong Goo Kim, Dong-wook Rha, Eung-Yeop Kim, Dong Ik Kim, Jae-Jin Kim, Mijin Yun, Young Hoon Ryu, Jinu Lee, Jae Min Jeong, Dong Soo Lee, Myung Chul Lee, Chang Il Park