no code implementations • 30 Jan 2024 • Alexander Oberstrass, Sascha E. A. Muenzing, Meiqi Niu, Nicola Palomero-Gallagher, Christian Schiffer, Markus Axer, Katrin Amunts, Timo Dickscheid
To this end, we propose the application of a fully data-driven approach to characterize nerve fiber architecture in 3D-PLI images using self-supervised representation learning.
no code implementations • 28 Nov 2023 • Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid
This is the basis to study the multi-scale architecture of the brain regarding its subdivision into brain areas and nuclei, cortical layers, columns, and cell clusters down to single cell morphology Methods for brain mapping and cell segmentation exploit such images to enable rapid and automated analysis of cytoarchitecture and cell distribution in complete series of histological sections.
no code implementations • 9 Mar 2021 • Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
By solving the brain mapping problem on this graph using graph neural networks, we obtain significantly improved classification results.
no code implementations • 25 Nov 2020 • Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Cytoarchitectonic maps provide microstructural reference parcellations of the brain, describing its organization in terms of the spatial arrangement of neuronal cell bodies as measured from histological tissue sections.
no code implementations • 25 Nov 2020 • Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Here we present a new workflow for mapping cytoarchitectonic areas in large series of cell-body stained histological sections of human postmortem brains.