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Open access Sep 2026

Improving the accessibility of deep learning-based denoising for accelerated brain MRI using self-supervised learning and/or transfer learning.

The quality of human brain magnetic resonance imaging (MRI) is often compromised by noise. Deep learning-based image denoising methods using convolutional neural networks (CNNs) have proven to be more effective compared to conventional denoising methods. Nonetheless, most CNN-based denoising methods are not accessible...

Zi-Han Li, Zi-Yu Li, Ming-Xuan Liu et al. · 0 citations
Aug 2026

Altered gray matter network segregation and disrupted interregional connectivity in children with persistent developmental stuttering: a graph-theoretical morphometric study

It is suggested that children with persistent stuttering exhibit excessive local specialization and decreased interregional integration, reflecting a network-level imbalance that may underlie the persistence and severity of stuttering.

Wanqing Liu, Dan Ma, Chuanlong Cao et al. · 0 citations

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