ArticleCell reports methods2022
Open-source analysis and visualization of segmented vasculature datasets with VesselVio.
Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- Graph Neural Networks for Realistic Bleeding Prediction in Surgical Simulators.Journal of imaging informatics in medicine · 2026Article
- Resilience of the bone marrow vascular architecture to aging and hematological stress.Blood vessels, thrombosis & hemostasis · 2026Article
- Accurate segmentation of pulmonary arteries and veins via a human-in-the-loop framework with application in COPD.Medical & biological engineering & computing · 2026Article
- Innovative 3D-Image Analysis of Cerebellar Vascularization Highlights Angiogenic Gene Dysregulations in a Murine Model of Apnea of Prematurity.Cerebellum (London, England) · 2026Article
- A Three-dimensional Analytical Framework for Retinal Microvasculature Reveals Layer-associated Vulnerability in Development and Neovascular Remodeling.bioRxiv : the preprint server for biology · 2026Article
- Article
- CT image-based machine learning models for predicting blood eosinophil levels in acute exacerbation of chronic obstructive pulmonary disease.BMC pulmonary medicine · 2026Article
- Linking cross-species trajectories of cerebrovascular remodeling in aging and Alzheimer's disease to brain vessel transcriptome.bioRxiv : the preprint server for biology · 2026Article
- Quantitative 3D Imaging of Mouse and Human Intrahepatic Bile Ducts in Homeostasis and Liver Injury.The American journal of pathology · 2026Article
- Three-dimensional modeling of flow through microvascular beds and surrounding interstitial spaces.Bioengineering & translational medicine · 2026Article
- A high-resolution dataset of mouse brain vasculature for deep learning-based reconstruction.Frontiers in neuroinformatics · 2026Article
- A self-training framework for semi-supervised pulmonary vessel segmentation and its application in COPD.Journal of X-ray science and technology · 2026Article
- Nanobody Immunolabelling and three-dimensional imaging reveals spatially restricted LYVE1 expression by kidney lymphatic vessels in mice.Journal of nanobiotechnology · 2025Article
- Tube2FEM: a general-purpose highly automated pipeline for flow-related processes in (embedded) tubular objects.Royal Society open science · 2025Article
- Microvascular aberrations found in human polycystic kidneys are an early feature in a Pkd1 mutant mouse model.Disease models & mechanisms · 2025Article
- Observational
- Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature usingNeuroinformatics · 2025Article
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Abstract
Vascular networks are fundamental components of biological systems. Quantitative analysis and observation of the features of these networks can improve our understanding of their roles in health and disease. Recent advancements in imaging technologies have enabled the generation of large-scale vasculature datasets, but barriers to analyzing these datasets remain. Modern analysis options are mainly limited to paid applications or open-source terminal-based software that requires programming knowledge with high learning curves. Here, we describe VesselVio, an open-source application developed to analyze and visualize pre-binarized vasculature datasets and pre-constructed vascular graphs. Vasculature datasets and graphs can be loaded with annotations and processed with custom parameters. Here, the program is tested on ground-truth datasets and is compared with current pipelines. The utility of VesselVio is demonstrated by the analysis of multiple formats of 2D and 3D datasets acquired with several imaging modalities, including annotated mouse whole-brain vasculature volumes.
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