To develop and evaluate a new deep learning MR denoising method that leverages quantitative noise distribution information from the reconstruction process to improve denoising performance and ...
Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...
Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...
Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...
AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard ...
Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
1 Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China 2 School of Computer Science And Technology, Shandong Technology ...
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