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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

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Zhuo-Neng Zhang

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2 papers indexed here

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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

MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI

Comprehensive magnetic resonance imaging (MRI) analysis in oncology involves multiple interrelated tasks including volumetric segmentation, grading, staging, and malignancy detection. However, most existing deep learning models are task-specific or sequence-specific, lacking the generalizability required for heterogene...

Zhuo-Neng Zhang, Lu-Yi Han, Deng-Qiang Jia et al. · 2 citations · ⚡1

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