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Titlebook: 12th Asian-Pacific Conference on Medical and Biological Engineering; Proceedings of APCMB Guangzhi Wang,Dezhong Yao,Chengyu Liu Conference

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https://doi.org/10.1007/978-3-662-68110-7correctly. The two denoising algorithms achieve high correlation with the original signal under a low SNR condition. The results demonstrate the superior performance in single-channel EEG automatic artifact rejection.
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Von Nannas Herden zu Helios’ Rindernalar and hemicerebral of autism. We collected a EEG dataset containing 45 ASD children and 45 typically developing (TD) children to evaluate our proposed method. Experimental results shown that our proposed method is superior to several baseline methods.
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SRSA-Net: Separable ResUnit and Self-attention Optimized Network for Simultaneous Nuclei Segmentatio978-1-4899-6140-2
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Developmental Pattern of Individual Morphometric Similarity Network in the Human Fetal Brain978-0-306-47103-2
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