Assessment of regional GABAA receptor binding using 18F-fluoroflumazenil positron emission tomography in spastic type cerebral palsy. - 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; et al. (NeuroImage, 2007)

SENSE factors for reliable cortical thickness measurement. - Hae-Jeong Park; Tak Youn; Seok-Oh Jeong; Maeng-Keun Oh; Sei-Young Kim; Eung-Yeop Kim (NeuroImage, 2008)

Morphological alterations in the congenital blind based on the analysis of cortical thickness and surface area. - Hae-Jeong Park; Jong Doo Lee; Eung-Yeop Kim; Bumhee Park; Maeng-Keun Oh; SungChul Lee; Jae-Jin Kim (NeuroImage, 2009)

A Mobile Tele-Radiology Imaging System with JPEG2000 for an Emergency Care. - Dong Keun Kim; Eung-Yeop Kim; Kun H. Yang; Chung Ki Lee; Sun Kook Yoo (J. Digit. Imaging, 2011)

Susceptibility-resistant variable-flip-angle turbo spin echo imaging for reliable estimation of cortical thickness: A feasibility study. - Hyunyeol Lee; Eung-Yeop Kim; Kyung-Sook Yang; Jaeseok Park (NeuroImage, 2012)

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. - Dongwook Lee 005; Eung-Yeop Kim; Huisu Yoon; Sunghong Park; Jong Chul Ye (ISBI, 2014)

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. - Eun Ju Cha; Kyong Hwan Jin; Dongwook Lee 005; Eung-Yeop Kim; Seung Hong Choi; Jong Chul Ye (ISBI, 2016)

Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation. - Suhyung Park; Eung-Yeop Kim; Chul-Ho Sohn; Jaeseok Park (IEEE Trans. Medical Imaging, 2017)

Improved Time-Resolved MRA Using k-Space Deep Learning. - Eunju Cha; Eung-Yeop Kim; Jong Chul Ye (MLMIR@MICCAI, 2018)

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. - Eunju Cha; Eung-Yeop Kim; Jong Chul Ye (CoRR, 2018)

Quantitative susceptibility mapping using deep neural network: QSMnet. - 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; et al. (NeuroImage, 2018)

A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. - Mohammed A. Al-masni; Woo-Ram Kim; Eung-Yeop Kim; Young Noh; Dong-Hyun Kim 008 (EMBC, 2020)

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (CoRR, 2020)

Exploring linearity of deep neural network trained QSM: QSMnet+. - Woojin Jung; Jaeyeon Yoon; Sooyeon Ji; Joon Yul Choi; Jae Myung Kim; Yoonho Nam; Eung-Yeop Kim; Jongho Lee 003 (NeuroImage, 2020)

3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. - Mohammed A. Al-Masni; Woo-Ram Kim; Eung-Yeop Kim; Young Noh; Dong-Hyun Kim 008 (IEEE Access, 2021)

Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. - Eunju Cha; Hyungjin Chung; Eung-Yeop Kim; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. - Serin Yang; Eung-Yeop Kim; Jong Chul Ye (IEEE Trans. Medical Imaging, 2021)

Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. - Inhwa Han; Boah Kim; Eung-Yeop Kim; Jong Chul Ye (AICAS, 2022)

Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial. - 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 001; Eung-Yeop Kim; et al. (NeuroImage, 2022)

Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. - 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 008 (CoRR, 2023)

Diagnostic performance of a high-spatial-resolution voxelwise analysis of neuromelanin-sensitive imaging in early-stage idiopathic Parkinson's disease. - Minjung Seong; Seongbeom Park; Young Hee Sung; Eung-Yeop Kim (BMC Medical Imaging, 2023)

Toward automated detection of microbleeds with anatomical scale localization using deep learning. - Jun-Ho Kim; Young Noh; Haejoon Lee; Seul Lee; Woo-Ram Kim; Koung Mi Kang; Eung-Yeop Kim; Mohammed A. Al-masni; Donghyun Kim 008 (Medical Image Anal., 2025)