Bjoern H. Menze

In Vivo Network-Level Cerebrovascular Mapping Reveals the Impact of Flow Topology on Capillary Stalls After Stroke

The paper develops OMNIMap to analyze cerebrovascular flow and identifies flow topology as a marker of capillary vulnerability after stroke.

Bessel Beam Optical Coherence Microscopy Enables Multiscale Assessment of Cerebrovascular Network Morphology and Function

This study introduces Bessel beam optical coherence microscopy to assess cerebrovascular network morphology and function in mice at high resolution and across multiple scales.

Deep Learning and 3D Imaging Reveal Whole-Body Alterations in Obesity

This paper introduces MouseMapper, a deep learning tool combined with 3D imaging to analyze whole-body structural changes in obesity, revealing nerve and immune system alterations.

Virtual reality empowered deep learning analysis of brain activity

DELiVR uses VR-generated data to train deep learning models for quantifying c-Fos in cleared mouse brains, revealing new activation patterns in cancer-related brain activity.

Towards Quantitative Imaging Biomarkers of Tumor Dissemination: a Multi-scale Parametric Modeling of Multiple Myeloma

This paper introduces a Bayesian framework for modeling tumor dissemination in Multiple Myeloma using longitudinal imaging data, showing improved prediction of disease progression compared to existing radiological criteria.

Automated analysis of whole brain vasculature using machine learning

The paper develops a deep learning framework to analyze whole brain vasculature in cleared mouse brains, revealing new insights into vascular architecture and collateralization.

Panoptic vDISCO imaging reveals neuronal connectivity, remote trauma effects and meningeal vessels in intact transparent mice

The paper introduces a new imaging technique to enhance fluorescent signal in cleared mouse bodies, enabling whole-body visualization of neuronal connectivity and trauma effects.