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Training dataset for MoDL-QSM
The dataset includes 5 healthy volunteers with 15-23 head orientations per subject. -
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility
Quantitative susceptibility mapping (QSM) has demonstrated great potential in quantifying tissue susceptibility in various brain diseases. However, the intrinsic ill-posed... -
BFRnet: A deep learning-based MR background field removal method for QSM
A deep learning-based method for background field removal in MRI, specifically for QSM in the brain containing significant pathological susceptibility sources -
STAR-QSM dataset
A dataset of QSM images reconstructed using the STAR-QSM method, used for comparison with the autoQSM method. -
QSMnet dataset
A dataset of QSM images reconstructed using the QSMnet method, used for comparison with the autoQSM method. -
autoQSM dataset
A dataset of 209 healthy subjects with ages ranging from 11 to 82 years old, used for training a deep neural network for QSM reconstruction without brain extraction.
