AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Anchored-Branched Geometric Algebra Transformer (AB-GATr), an E(3)-equivariant surrogate that efficiently predicts coupled surface and volume quantities, is introduced, and results support explicit equivariance for the evaluated hemodynamic tasks with natural orientation variation.
The developed NC-MRA sequence demonstrated interobserver variability comparable to CTA and was non-inferior for the majority of morphometric measurements, demonstrating potential for routine clinical use.
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