Hang Zhang

QSMRim-Net is a deep learning model that identifies chronic active multiple sclerosis lesions on QSM images by addressing class imbalance, achieving high accuracy and correlation with expert annotations.

The paper uses a three-compartment T2 relaxometry model to show that CSFF increases with age in non-active MS patients, indicating higher perivascular space load in cerebral cortical regions.