Yang Zhou

This paper uses HiP-CT to image the human spine at high resolution, revealing multiscale anatomy and microstructural features without exogenous contrast.

The paper presents a benchmark for 3D blood vessel segmentation in human kidney phase-contrast tomography images using top-performing deep learning solutions from a global competition.

The Human Organ Atlas provides open access to multiscale 3D imaging of human organs, along with tools and resources for analysis and research.

The paper develops a multiscale segmentation pipeline using HiP-CT and deep learning to identify glomeruli in human kidneys across different resolutions.

The paper develops an in silico framework to model human kidney haemodynamics using HiP-CT data, showing vascular geometry and resistance scaling influence kidney function.