7 papers
Longitudinal QSM: Enhancing consistency of multiple time point susceptibility maps via simultaneous reconstruction
Jiye Kim, Hwihun Jeong, Taechang Kim +4
Quantitative susceptibility mapping (QSM) has been increasingly applied in longitudinal studies of neurodegenerative diseases and aging to assess temporal alterations in brain iron…
A Target-Free Harmonization Method for MRI
Minjun Kim, Dong Ju Mun, Hwihun Jeong +4
In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts…
HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training
Hwihun Jeong, Qiang Liu, Kathryn E. Keenan +7
Purpose: Combining multi-site diffusion MRI (dMRI) data is hindered by inter-scanner variability, which confounds subsequent analysis. Previous harmonization methods require large,…
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong, Se Young Chun, Jongho Lee
Deep learning-based Magnetic Resonance (MR) reconstruction methods have focused on generating high-quality images but often overlook the impact on downstream tasks (e.g., segmentat…
Efficient and robust 3D blind harmonization for large domain gaps
Hwihun Jeong, Hayeon Lee, Se Young Chun +1
Blind harmonization has emerged as a promising technique for MR image harmonization to achieve scale-invariant representations, requiring only target domain data (i.e., no source d…
Ï-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…