Timo Dickscheid

The paper introduces siibra, a software tool suite that integrates diverse brain data into a Multilevel Human Brain Atlas, enabling interoperable analysis and visualization.

The paper presents a high-resolution isotropic human brain dataset and demonstrates its use for neuroanatomy analysis and visualization.

The paper improves the resolution of the Allen Mouse Brain Atlas to 25 micrometers cubed for 4,083 genes and provides an interactive platform for exploring gene expression patterns.

The paper introduces AtOM, an ontology model to standardize brain atlas representation, enabling interoperability and data integration across species and atlas versions.

This paper introduces a data-driven method to infer neural mass models and parameters from brain data, showing it can recover original parameters and produce realistic dynamics in synthetic and resting-state fMRI data.

BigBrainWarp simplifies integration of BigBrain histology with neuroimaging by providing tools for registration and cytoarchitectural feature access.

The paper presents a 3D laminar atlas of the human cerebral cortex using a convolutional neural network and uses it to analyze thickness gradients in sensory and motor cortices.