2 citations · 3 across the 7 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…