Ezgi Demircan-Tureyen

Exploring out-of-distribution detection for sparse-view computed tomography with diffusion models

Abstract Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from these advancements, achieving improved generalization without reliance on measurement para...