Christian Schiffer

According to our database, Christian Schiffer authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Alexander Oberstraß, Sascha E. A. Muenzing, Meiqi Niu, Nicola Palomero-Gallagher, Christian Schiffer, Markus Axer, Katrin Amunts, Timo Dickscheid

CoRR, 2024

2023

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

Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid

CoRR, 2023

2021

Convolutional neural networks for cytoarchitectonic brain mapping at large scale.

Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

NeuroImage, 2021

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.

Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

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.

Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid

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.

Lena Oden, Christian Schiffer, Hannah Spitzer, Timo Dickscheid, Dirk Pleiter

Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain.

Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts

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.

Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan C. Evans, Katrin Amunts

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019