Deep learning-based super-resolution (SR) techniques offer a powerful tool to enhance the spatial resolution of magnetic resonance imaging (MRI) without increasing scan time. However, most supervised SR methods rely on high-resolution, high signal-to-noise ratio (SNR) reference data for training, which are difficult...
Mu-Ye Zhang, Hong-Jia Yang, Zi-Han Li et al.· Imaging Neuroscience· 0 citations
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.· Brain Imaging and Behavior· 0 citations
This work demonstrates that, in this reporting scenario, the ASTAR-induced template surpasses two expert-curated templates across template coverage, information fidelity, diagnostic fidelity, and expert-rated usability, reducing template development from weeks of committee deliberation to hours of automated processing.