8 citations · 9 across the 5 of their papers we have counts for
4 papers · 1 filter
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain
Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts +1
Recent advances in imaging and high-performance computing have made it possible to image the entire human brain at the cellular level. This is the basis to study the multi-scale ar…
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres
Esteban Vaca, Miriam Menzel, Katrin Amunts +2
Scattered Light Imaging (SLI) is a novel approach for microscopically revealing the fibre architecture of unstained brain sections. The measurements are obtained by illuminating br…
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz +6
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic prin…
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
Christian Schiffer, Katrin Amunts, Stefan Harmeling +1
Cytoarchitectonic maps provide microstructural reference parcellations of the brain, describing its organization in terms of the spatial arrangement of neuronal cell bodies as meas…