Walter Knirsch

Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns

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.

Altered connectome topology in newborns at risk for cognitive developmental delay: a cross-etiologic study

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.

Developmental trajectory of thalamus topography during the late preterm and perinatal period in normal development, after premature birth and in congenital heart defects

This study uses diffusion MRI to map thalamic topography across development, showing stable topography but reduced volumes and increased relative volume in CHD infants.

Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry

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.

Delayed maturation of the structural brain connectome in neonates with congenital heart disease

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

Left planum temporale growth predicts language development in newborns with congenital heart disease

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.