Razvan V. Marinescu

$K$-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.