Raimund Kottke

This paper uses graph convolutional networks to classify neonatal brain connectomes by etiology at voxel-level granularity, achieving higher classification performance than atlas-based methods and a multilayer perceptron baseline.

This study examines structural brain connectome differences in newborns at risk for cognitive developmental delay across multiple etiologies, finding altered network topology features associated with poorer cognitive outcomes.

The paper introduces OSBA, an open neuroimaging atlas for spina bifida aperta, providing standardized templates for spatial normalization and anatomical analysis in neonatal brains.

This study uses deformation-based morphometry on longitudinal MRI scans to analyze changes in brain asymmetry from fetal to neonatal stages, identifying key regions of asymmetry and developmental shifts.

This study quantifies delayed structural brain connectome maturation in neonates with congenital heart disease compared to healthy controls, showing lower integration and higher segregation.

The paper investigates if brain growth rates in newborns with congenital heart disease correlate with language development at 12 months, finding a significant link between left planum temporale growth and language scores.

This paper assesses the within-subject reproducibility of IVIM parameters in fetal organs and placenta using MRI, finding variable reliability across different tissues.