R. J. Shipley

tUbe net is a deep learning tool for 3D vessel segmentation that can be generalized across tissues, modalities, and pathologies with minimal labeled data.

This study maps the entire human kidney vasculature using hierarchical phase-contrast tomography, revealing structural differences in vascular architecture across kidney zones.

The paper develops a 3D discrete-continuum model to simulate blood pressure in microvascular tissues without known capillary architecture, validated using mouse brain vascular network data.

This paper introduces MF-HREM, a 3D imaging technique for large biological samples, enabling multi-fluorescent staining and quantification in various biological contexts.

This paper develops a computational framework to simulate fluid transport in whole tumours, incorporating vascular architecture to predict interstitial fluid dynamics and inform cancer therapy design.

This study combines in vivo imaging and mathematical modeling to reveal new insights into cerebral blood flow regulation and oxygenation mechanisms.