Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Liu Jiyao"'
Autor:
Liu, Jiyao, Li, Yuxin, Gao, Shangqi, Zhou, Yuncheng, Gao, Xin, Xu, Ningsheng, Zhang, Xiao-Yong, Zhuang, Xiahai
Contrast-enhanced brain MRI (CE-MRI) is a valuable diagnostic technique but may pose health risks and incur high costs. To create safer alternatives, multi-modality medical image translation aims to synthesize CE-MRI images from other available modal
Externí odkaz:
http://arxiv.org/abs/2407.07372
Publikováno v:
Open Life Sciences, Vol 15, Iss 1, Pp 665-676 (2020)
Accumulating evidence suggests that dysregulation of long non-coding RNAs is closely associated with various human diseases, including Parkinson’s disease (PD). However, the role of nuclear-enriched abundant transcript 1 (NEAT1) in the PD process r
Externí odkaz:
https://doaj.org/article/5a2c78d2dc4f44b88a31d18b62fe28f8
Electroencephalography (EEG) plays a vital role in detecting how brain responses to different stimulus. In this paper, we propose a novel Shallow-Deep Attention-based Network (SDANet) to classify the correct auditory stimulus evoking the EEG signal.
Externí odkaz:
http://arxiv.org/abs/2303.10897
Autor:
Liu, Jiyao
In this paper, the problem of orientation correction in cardiac MRI images is investigated and a framework for orientation recognition via deep neural networks is proposed. For multi-modality MRI, we introduce a transfer learning strategy to transfer
Externí odkaz:
http://arxiv.org/abs/2211.11336
Publikováno v:
BMC Genomics. 8/26/2024, Vol. 25, p1-15. 15p.
Recognizing the feelings of human beings plays a critical role in our daily communication. Neuroscience has demonstrated that different emotion states present different degrees of activation in different brain regions, EEG frequency bands and tempora
Externí odkaz:
http://arxiv.org/abs/2110.09955
Electroencephalography (EEG) is a popular and effective tool for emotion recognition. However, the propagation mechanisms of EEG in the human brain and its intrinsic correlation with emotions are still obscure to researchers. This work proposes four
Externí odkaz:
http://arxiv.org/abs/2110.06553
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Akademický článek
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Publikováno v:
In Science of the Total Environment 1 November 2023 897