SDFStent is a real-time SDF-based mesh deformation technique for virtual stenting that generates watertight post-stent models matching prescribed dimensions and validated CFD pressure drops against clinical data.
The Vascular Modeling Toolkit: A Python Library for the Analysis of Tubular Structures in Medical Images
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An anatomy-informed U-Net using TotalSegmentator-derived organ exclusion masks reduces false positives and improves boundary accuracy for abdominal aortic aneurysm segmentation compared to a standard U-Net on limited data.
citing papers explorer
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SDFStent: Real-time interactive virtual stenting via SDF deformation fields
SDFStent is a real-time SDF-based mesh deformation technique for virtual stenting that generates watertight post-stent models matching prescribed dimensions and validated CFD pressure drops against clinical data.
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Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
An anatomy-informed U-Net using TotalSegmentator-derived organ exclusion masks reduces false positives and improves boundary accuracy for abdominal aortic aneurysm segmentation compared to a standard U-Net on limited data.