Deep Reinforcement Learning Designed RF Pulse: DeepRFSLR. - Dongmyung Shin; Sooyeon Ji; Doo-Hee Lee; Jieun Lee; Se-Hong Oh 001; Jongho Lee 003 (CoRR, 2019)

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)

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)

Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR. - Dongmyung Shin; Sooyeon Ji; Doo-Hee Lee; Jieun Lee; Se-Hong Oh 001; Jongho Lee 003 (IEEE Trans. Medical Imaging, 2020)

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)

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)

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)

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)

Vessel segmentation for X-separation. - Taechang Kim; Sooyeon Ji; Kyeongseon Min; Minjun Kim; Jonghyo Youn; Chungseok Oh; Jiye Kim; Jongho Lee (CoRR, 2025)