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The paper benchmarks a 2.5-D U-Net with a slice-level topology term for type-B aortic dissection segmentation using public CTA data, finding no consistent benefit from the topology term.

The paper evaluates predictive models for hemodynamic networks on unseen structures, comparing their performance against known equations and finding neural models underperform compared to traditional methods.

The paper evaluates an AI framework for evidence analysis in panvascular intervention using clinical trial data and NLI4CT tasks, showing improved accuracy with checklist prompts over generic ones.