Search Results - low-dimensional+manifold+model+(ldmm)

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Low-dimensional manifold constrained disentanglement network for metal artifact reduction in CT images
RPI ID: 2020-111-201 Innovation Summary: A deep learning network is designed to reduce metal artifacts in CT imaging by constraining feature disentanglement within a low-dimensional manifold. The model separates anatomical structures from artifact-induced distortions, improving image clarity. It is trained on synthetic and real-world datasets and supports...
Published: 3/10/2026   |   Inventor(s): Chuang Niu, Wenxiang Cong, Ge Wang
Keywords(s): disentanglement network, low-dimensional manifold model (LDMM), metal artifact reduction, unpaired learning
Category(s): Computational Science and Engineering