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Open access Sep 2026

Dual-branch MRI denoising and motion artifact suppression with uncertainty estimation and segmentation-based evaluation.

BACKGROUND Magnetic resonance (MR) images are essential for clinical diagnosis, yet their quality is often compromised by noise and motion artifacts, potentially obscuring anatomical details and reducing diagnostic accuracy. Existing deep learning approaches frequently address denoising and motion artifact suppression...

Ming-Fu Jiang, Chi-Kin Lam, Zhuo-Neng Zhang et al. · 0 citations
Open access Aug 2026

A Dimension-Reduction Method for Detecting Non-Multinormality in Two-Level Structural Equation Models

Testing multinormality in two-level structural equation models (SEMs) presents a fundamental challenge because observations from the same level-2 unit are correlated, violating the independence assumption required by classical normality tests. In this paper, we develop a novel generalized Shapiro–Wilk (GW) test that ex...

Yiwen Cao, Jiajuan Liang, Chi-Kin Lam · 0 citations

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