Paul Tafforeau

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

This study maps venous remodelling in IPF using multiscale imaging and molecular data, showing venous enlargement correlates with disease severity and poor survival.

This paper maps the connectivity of the adult human heart at the micron scale using hierarchical phase-contrast tomography, revealing structural relationships between myocardial, vascular, and neural systems.

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.

This paper demonstrates the evolution of HiP-CT for whole adult human brain imaging, showing improvements in data quality, resolution, and speed through hardware and scanning technique advancements.

This study uses HiP-CT to show altered myocardial structure in pediatric ToF hearts, revealing structural changes that align with clinical observations of ventricular dysfunction.

The paper presents a multimodal imaging pipeline that combines diffusion MRI and high-resolution X-ray microscopy to map the human connectome across multiple scales.

This paper uses HiP-CT to image microstructural fiber orientations in the human brain, showing greater complexity than dMRI while being non-destructive.

This study uses high-resolution imaging to reveal detailed anatomical structures of the clitoris, including the trajectory and branching of the dorsal nerve.

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 presents a high-resolution isotropic human brain dataset and demonstrates its use for neuroanatomy analysis and visualization.

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

This paper demonstrates the application of Hierarchical Phase-Contrast Tomography (HiP-CT) in three biomedical case studies, revealing detailed organ structures at multiple scales.

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.

This paper demonstrates HiP-CT with EPR for high-resolution imaging of a whole sheep head, enabling near-micron scale visualization of anatomical features without sectioning.

This paper uses HiP-CT to analyze the atrioventricular conduction system in ToF specimens, revealing structural anomalies and surgical risks.

This study uses imaging and modeling to show how structural changes in knee joints predict osteoarthritis onset by altering strain distribution.

This study uses synchrotron-based imaging to visualize and quantify the arterial microvasculature of the human hippocampus at high resolution.