An R2* model of white matter for fiber orientation and myelin concentration. - Jin-Gu Lee; Hyeong-Geol Shin; Woojin Jung; Yoonho Nam; Se-Hong Oh 001; Jongho Lee 003 (NeuroImage, 2017)

Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI). - Woojin Jung; Jin-Gu Lee; Hyeong-Geol Shin; Yoonho Nam; Hui Zhang 005; Se-Hong Oh 001; Jongho Lee 003 (NeuroImage, 2018)

Advances in gradient echo myelin water imaging at 3T and 7T. - Hyeong-Geol Shin; Se-Hong Oh 001; Masaki Fukunaga; Yoonho Nam; Doo-Hee Lee; Woojin Jung; Minju Jo; Sooyeon Ji; Joon Yul Choi; Jongho Lee 003 (NeuroImage, 2019)

DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE. - Hongjun An; Hyeong-Geol Shin; Sooyeon Ji; Woojin Jung; Sehong Oh 001; Dongmyung Shin; Juhyung Park; Jongho Lee 003 (NeuroImage, 2021)

χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. - Hyeong-Geol Shin; Jingu Lee; Young Hyun Yun; Seong Ho Yoo; Jinhee Jang; Se-Hong Oh 001; Yoonho Nam; Sehoon Jung; Sunhye Kim; Masaki Fukunaga; Woojun Kim; Hyung Jin Choi; et al. (NeuroImage, 2021)

Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-Maps. - Sooyeon Ji; Jinhee Jeong; Se-Hong Oh 001; Yoonho Nam; Seung Hong Choi; Hyeong-Geol Shin; Dongmyung Shin; Woojin Jung; Jongho Lee 003 (IEEE Trans. Medical Imaging, 2021)

Coil2Coil: Self-supervised MR image denoising using phased-array coil images. - Juhyung Park; Dongwon Park; Hyeong-Geol Shin; Eun-Jung Choi; Hongjun An; Minjun Kim 005; Dongmyung Shin; Se Young Chun; Jongho Lee 003 (CoRR, 2022)

WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging. - Zhenghan Fang; Hyeong-Geol Shin; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (MLCN@MICCAI, 2023)

Depth-wise profiles of iron and myelin in the cortex and white matter using χ-separation: A preliminary study. - Subin Lee; Hyeong-Geol Shin; Minjun Kim 005; Jongho Lee 003 (NeuroImage, 2023)

ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping. - Shmuel Orenstein; Zhenghan Fang; Hyeong-Geol Shin; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (MLCN@MICCAI, 2024)

In-vivo high-resolution χ-separation at 7T. - Jiye Kim; Minjun Kim; Sooyeon Ji; Kyeongseon Min; Hwihun Jeong; Hyeong-Geol Shin; Chungseok Oh; Robert J. Fox; Ken E. Sakaie; Mark J. Lowe; Se-Hong Oh; Sina Straub; et al. (NeuroImage, 2025)