AneuG-Flow: 730 Synthetic Intracranial Aneurysm CFD Simulations

AneuG-Flow is a dataset of 730 synthetic intracranial aneurysm cases with transient computational fluid dynamics (CFD) simulations. The dataset, created by author whding123, contains high-resolution 3D geometries and blood flow data. It was last updated on Hugging Face on January 13, -2026.

Use Cases

• Training ML models for hemodynamic parameter prediction based on synthetic aneurysm geometries.
• Benchmarking CFD simulation methods based on the provided high-resolution 3D flow data.
• Studying the relationship between aneurysm morphology and wall shear stress patterns.
• Developing generative models for medical data augmentation based on the AneuG generative model output.

Strengths

• Contains 730 distinct aneurysm cases, providing a substantial collection for analysis.
• Includes transient (time-varying) flow simulations, capturing dynamic hemodynamic behavior.
• Provides high-resolution 3D geometries in both original and remeshed forms.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the synthetic generation method used by the AneuG model.

Provenance

Source

whding123 on Hugging Face

Collection Method

Computational fluid dynamics (CFD) simulations on synthetic aneurysm morphologies generated by the AneuG generative model.

Time Range

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Freshness

Last updated 2026-01-13 17:09:10; freshness should be verified.

Geography

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