Henrik Skibbe

The paper introduces FluoCode, a fluorescent barcoding system for multiplexed projection mapping in mice and marmosets, revealing fine-scale topographic maps in subcortical regions.

This study shows that adult mice can reorganize brain circuits remotely after visual cortex injury, with adult neurogenesis contributing to functional recovery in olfactory processing.

This paper predicts one-year WMH evolution post-stroke using MRI and stroke lesion data with a probabilistic deep learning model, achieving improved accuracy through joint segmentation and a new loss function.

The paper develops a machine learning method to recognize individual F-actin filaments in HS-AFM images, revealing their orientation patterns in lamellipodia and cell cortex.

The paper describes the implementation of serial two-photon tomography for whole marmoset brain imaging and introduces auxiliary histological techniques to enhance data utility.

This study identifies four cell types in the mouse PVT using single-cell RNA sequencing and shows their transcriptomic continuity along the anterior-posterior axis, with distinct axon projection patterns and functional responses to neuropeptides.

This study maps prefrontal cortex circuits in marmosets, revealing distinct local and long-distance projection patterns and their implications for primate brain organization.

The paper presents a large-scale MRI database of marmosets across a wide age range to study brain aging and its factors.

The paper introduces MiniVess, a rodent cerebrovasculature dataset for testing machine learning tools in biomedical image analysis.

The paper introduces the Brain/MINDS Marmoset Connectivity Atlas, providing a resource for exploring neuronal tracer data and tractography in a common stereotaxic space.

This paper describes a pipeline for processing tracer injection data in marmoset brains, enabling normalization into a common 3D space for connectomics studies.