Article

The Case for Interpretable Geometry: Statistical Shape Models vs. Curvature-Based Descriptors in Aortic Disease Classification

2026-07-31

Abstract excerpt

<h4>Purpose</h4> Quantifying aortic morphology is central to surgical planning for thoracic endovascular aortic repair (TEVAR), yet no consensus exists on how best to represent three-dimensional aortic shape for outcome prediction. Two broad strategies have emerged: statistical shape analysis (SSA), which relies on statistical methods and dimensionality reduction to capture the most significant shape modes, and g...

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Literature Corpus work: 8307b4a2-7572-594e-95bd-7eaa7d4772f1
DOI: 10.64898/2026.07.29.26359299

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