5 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2019
Overview of quantitative susceptibility mapping using deep learning -- Current status, challenges and opportunities
Woojin Jung, Steffen Bollmann, Jongho Lee
Quantitative susceptibility mapping (QSM) has gained broad interests in the field by extracting biological tissue properties, predominantly myelin, iron and calcium from magnetic r…
physics.med-ph2019★ 1 cited
B1+ Homogenization in 7T MRI Using Mode-shaping with High Permittivity Materials
Yunchan Hwang, Hansol Noh, Minkyu Park +2
Ultra high field (UHF) brain MRI has proved its value by providing enhanced SNR, contrast, and higher resolution derived from the higher magnetic field (B0). Nonetheless, with the…
eess.IV2019★ 5 cited
Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning
Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon +6
We propose Nonlinear Dipole Inversion (NDI) for high-quality Quantitative Susceptibility Mapping (QSM) without regularization tuning, while matching the image quality of state-of-t…