Yoonho Nam

16 papers B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months.
BMC Medical Imaging
Arum Choi, Dayeon Bak, Ah-ra Cho, Hosna Asma-ull, Yoonho Nam, Hyun Gi Kim
2025 — conf
Synthesizing Delayed-Phase Contrast-Enhanced Breast MR Images from Early-Phase Images Using an Iterative Deep Network.
MICCAI (4)
Woojin Chung, Junghwa Kang, Ga Eun Park, Sung Hun Kim, Yoonho Nam
2024 J jnl
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility Study.
J. Imaging Inform. Medicine
Yoonho Nam, Su-Youn Kim, Kyu-Ah Kim, Euna Kwon, Yoo Hyun Lee, Jinhee Jang, Min Kyoung Lee, Jiwoong Kim, Yangsean Choi
2023 B conf
Diffusion Probabilistic Models-based Noise Reduction for Enhancing the Quality of Medical Images.
RO-MAN
Jae-Hun Lee, Yoonho Nam, Dong-Hyun Kim, Kanghyun Ryu
2021 J jnl
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.
IEEE Trans. Medical Imaging
Sooyeon Ji, Jinhee Jeong, Se-Hong Oh, Yoonho Nam, Seung Hong Choi, Hyeong-Geol Shin, Dongmyung Shin, Woojin Jung, Jongho Lee
2021 J jnl
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain.
NeuroImage
Hyeong-Geol Shin, Jingu Lee, Young Hyun Yun, Seong Ho Yoo, Jinhee Jang, Se-Hong Oh, Yoonho Nam, Sehoon Jung, Sunhye Kim, Masaki Fukunaga, Woojun Kim, Hyung Jin Choi, Jongho Lee
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
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks.
IEEE Access
Hunjin Chung, Koung Mi Kang, Mohammed A. Al-masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim
2019 J jnl
Advances in gradient echo myelin water imaging at 3T and 7T.
NeuroImage
Hyeong-Geol Shin, Se-Hong Oh, Masaki Fukunaga, Yoonho Nam, Doo-Hee Lee, Woojin Jung, Minju Jo, Sooyeon Ji, Joon Yul Choi, Jongho Lee
2018 J jnl
Improved three-dimensional multi-echo gradient echo based myelin water fraction mapping with phase related artifact correction.
NeuroImage
Hongpyo Lee, Yoonho Nam, Ho-Joon Lee, Jung-Jiin Hsu, Roland G. Henry, Dong-Hyun Kim
2018 J jnl
Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI).
NeuroImage
Woojin Jung, Jin-Gu Lee, Hyeong-Geol Shin, Yoonho Nam, Hui Zhang, Se-Hong Oh, Jongho Lee
2017 J jnl
An R
NeuroImage
Jin-Gu Lee, Hyeong-Geol Shin, Woojin Jung, Yoonho Nam, Se-Hong Oh, Jongho Lee
2015 J jnl
Improved estimation of myelin water fraction using complex model fitting.
NeuroImage
Yoonho Nam, Jongho Lee, Dosik Hwang, Dong-Hyun Kim
2015 J jnl
Physiological noise compensation in gradient-echo myelin water imaging.
NeuroImage
Yoonho Nam, Dong-Hyun Kim, Jongho Lee
2013 J jnl
Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising.
NeuroImage
Ung Jang, Yoonho Nam, Dong-Hyun Kim, Dosik Hwang
2012 J jnl
Single-scan R
NeuroImage
Yoonho Nam, Dongyeob Han, Dong-Hyun Kim