Malte Hoffmann

The paper presents a challenge for 3D registration of expansion microscopy volumes, evaluates top methods, and highlights future directions for ExM registration.

This paper introduces VesSynth, a vessel segmentation framework trained on synthetic data that achieves state-of-the-art accuracy across multiple imaging modalities and spatial resolutions.

The paper introduces a probabilistic atlas for the language network using fMRI data from 806 individuals to bridge gaps between group-level and individual-level language research.

The paper investigates the fronto-temporo-parietal language network across 45 languages, finding its topography and functional properties are robust to cross-linguistic variation.