Christian Johannes Hoffmann

This study shows that monocyte-derived microglia with a Dnmt3a mutation cause motor deficits in aging mice, resembling Parkinsonian disorders.

This paper predicts stroke outcomes in mice using MRI and behavioral data, finding that lesion volume and topology are key predictors of subacute and residual deficits.

This paper develops an automated deep learning method for ischemic stroke lesion segmentation in mouse MRI, achieving high agreement with manual segmentation.