Pascal Spincemaille

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.

This paper introduces DRIFT, a method to remove motion artifacts in fMRI by correcting k-space displacement, and finds that hybrid prospective-retrospective approaches are needed for optimal correction.