Jin Jin

This study evaluates fQSM's feasibility for whole-brain laminar activation mapping, showing less bias towards superficial layers compared to BOLD fMRI and comparable results to VASO.

This paper evaluates the accuracy and repeatability of quantitative susceptibility mapping using an anthropomorphic phantom, finding better performance at 3T than 7T.

This study evaluates four phantom doping materials for quantitative susceptibility mapping (QSM) by measuring molar susceptibility and test-retest repeatability at 3T and 7T.

The paper develops a multi-model consensus deep learning approach for automated gold fiducial marker segmentation in prostate MRI, achieving high sensitivity and precision.

QSMxT improves QSM processing by reducing artefacts and requiring minimal parameter tuning through a robust masking and two-pass reconstruction method.