Timo Dickscheid
Orcid: 0000-0002-9051-3701
According to our database1,
Timo Dickscheid
authored at least 31 papers
between 2005 and 2024.
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Bibliography
2024
Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain.
Neuroinformatics, July, 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI.
CoRR, 2024
Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in The Human Brain.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
CoRR, 2023
2022
NeuroImage, 2022
Medical Image Anal., 2022
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022
GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
NeuroImage, 2021
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2019
IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019
Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain.
Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019
A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses.
Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019
2018
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
2012
Automatic identification of gray and white matter components in polarized light imaging.
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging.
Frontiers Neuroinformatics, 2011
2009
Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems.
Proceedings of the Computer Vision Systems, 2009
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
Proceedings of the British Machine Vision Conference, 2009
2005
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005