Author

Emmanouil Nikolakakis

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Jul 2026

K-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

This paper proposes K-NeAS, a unified and scalable architecture for automated, multi-material surface reconstruction that replaces independent material networks with a shared latent backbone and introduces a fully differentiable $K$-material sequential soft selector to model an arbitrary number of overlapping tissues.

Daksh K. Shah, Emmanouil Nikolakakis, Razvan V. Marinescu · arXiv.org · 0 citations