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Found 14 papers, 4 papers with code
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
Understanding the cortical organization of the human brain requires interpretable descriptors for distinct structural and functional imaging data.
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
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.
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain
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.
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images
In the context of the NeurIPS 22 Cell Segmentation Challenge, the proposed solution is shown to generalize well in a multi-modality setting, while respecting domain-specific requirements such as focusing on specific cell types.
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres
Scattered Light Imaging (SLI) is a novel approach for microscopically revealing the fibre architecture of unstained brain sections.
Contour Proposal Networks for Biomedical Instance Segmentation
We construct CPN models with different backbone networks, and apply them to instance segmentation of cells in datasets from different modalities.
2D histology meets 3D topology: Cytoarchitectonic brain mapping with Graph Neural Networks
By solving the brain mapping problem on this graph using graph neural networks, we obtain significantly improved classification results.
Brain Modelling as a Service: The Virtual Brain on EBRAINS
The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science.
Bayesian Inference
Code Generation
Computational Engineering, Finance, and Science
Cryptography and Security
Distributed, Parallel, and Cluster Computing
Neurons and Cognition
Quantitative Methods
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
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.
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Here we present a new workflow for mapping cytoarchitectonic areas in large series of cell-body stained histological sections of human postmortem brains.
Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution
We demonstrate in different brain samples (human optic tracts, vervet monkey brain, rat brain) that the 2D fiber directions can be reliably reconstructed for up to three crossing nerve fiber bundles in each image pixel with an in-plane resolution of up to 6. 5 $\mu$m.
Medical Physics Biological Physics Optics
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data
We introduce a new method for registration and 3D reconstruction of high- and ultra-high resolution (64 $\mu$m and 1. 3 $\mu$m pixel size) histological images of a Wistar rat brain acquired by 3D polarized light imaging (3D-PLI).
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks
We show that the self-supervised model has implicitly learned to distinguish several cortical brain areas -- a strong indicator that the proposed auxiliary task is appropriate for cytoarchitectonic mapping.
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks
Its high resolution allows the study of laminar and columnar patterns of cell distributions, which build an important basis for the simulation of cortical areas and networks.
