Search Results for author: Christian Schiffer

Found 5 papers, 0 papers with code

Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI

no code implementations30 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.

Contrastive Learning Representation Learning

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain

no code implementations28 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.

Cell Segmentation Denoising +1

2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks

no code implementations9 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.

Descriptive General Classification +1

Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections

no code implementations25 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.

Contrastive Learning General Classification +2

Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale

no code implementations25 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.

3D Reconstruction

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