13 citations · 16 across the 8 of their papers we have counts for
9 papers
MWF-MIMOSA for efficient simultaneous relaxometry and myelin water fraction mapping
Yuting Chen, Yohan Jun, Hyeong-Geol Shin +15
Quantitative magnetic resonance imaging (qMRI) provides improved sensitivity and specificity to tissue composition and pathological alterations compared with conventional contrast-…
χ-sepnet: Deep neural network for magnetic susceptibility source separation
Minjun Kim, Sooyeon Ji, Jiye Kim +8
Magnetic susceptibility source separation (-separation), an advanced quantitative susceptibility mapping (QSM) method, enables the separate estimation of para- and diamagnetic s…
In-vivo high-resolution χ-separation at 7T
Jiye Kim, Minjun Kim, Sooyeon Ji +7
A recently introduced quantitative susceptibility mapping (QSM) technique, -separation, offers the capability to separate paramagnetic () and diamagnetic ($χ_{\…
A human brain atlas of chi-separation for normative iron and myelin distributions
Kyeongseon Min, Beomseok Sohn, Woo Jung Kim +9
Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurol…
Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
Juhyung Park, Dongwon Park, Sooyeon Ji +3
Deep learning-based denoising methods have shown powerful results for improving the signal-to-noise ratio of magnetic resonance (MR) images, mostly by leveraging supervised learnin…
BUDA-SAGE with self-supervised denoising enables fast, distortion-free, high-resolution T2, T2*, para- and dia-magnetic susceptibility mapping
Zijing Zhang, Long Wang, Jaejin Cho +10
To rapidly obtain high resolution T2, T2* and quantitative susceptibility mapping (QSM) source separation maps with whole-brain coverage and high geometric fidelity. We propose Bli…
A geometric approach to separate the effects of magnetic susceptibility and chemical shift/exchange in a phantom with isotropic magnetic susceptibility
Hyunsung Eun, Hwihun Jeong, Jingu Lee +2
Purpose: To separate the effects of magnetic susceptibility and chemical shift/exchange in a phantom with isotropic magnetic susceptibility. To generate a chemical shift/exchange-c…
DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE
Hongjun An, Hyeong-Geol Shin, Sooyoen Ji +5
Respiration-induced B fluctuation corrupts MRI images by inducing phase errors in k-space. A few approaches such as navigator have been proposed to correct for the artifacts at…
Artificial neural network for myelin water imaging
Jieun Lee, Doohee Lee, Joon Yul Choi +3
Purpose: To demonstrate the application of artificial-neural-network (ANN) for real-time processing of myelin water imaging (MWI). Methods: Three neural networks, ANN-IMWF, ANN-IGM…