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Yang Yanwu

Harbin Institute of Technology - School of Electronics and Information Engineering

SCHOLARLY PAPERS

2

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116

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Scholarly Papers (2)

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1.

A Deep Connectome Learning Network Using Graph Convolution for Connectome-Disease Association Study

Downloads 73 (852,604)

A Deep Connectome Learning Network Using Graph Convolution for Connectome-Disease Association Study

Number of pages: 34 Posted: 04 Nov 2022
Yang Yanwu, Chenfei Ye and Ting Ma
Harbin Institute of Technology - School of Electronics and Information Engineering, Peng Cheng Laboratory and Harbin Institute of Technology - School of Electronics and Information Engineering
Downloads 50 (1,083,731)

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Deep connectome learning, distance-based connectome network, connectome-wide association study, Graph Neural Network

A Deep Connectome Learning Network Using Graph Convolution for Connectome-Disease Association Study

Number of pages: 34 Posted: 04 Nov 2022
Yang Yanwu, Chenfei Ye and Ting Ma
Harbin Institute of Technology - School of Electronics and Information Engineering, Peng Cheng Laboratory and Harbin Institute of Technology - School of Electronics and Information Engineering
Downloads 23 (1,459,262)

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Deep connectome learning, distance-based connectome network, connectome-wide association study, Graph Neural Network

2.

CTE-Net: Automatic COVID-19 Lung Infection Segmentation Boosted by Low-Level Features and Fine-Grained Textures

Number of pages: 22 Posted: 11 Nov 2022
Jiesi Hu, Hua Huang, Yang Yanwu, Zhikai Chang, Bo Peng, Xiaolu Shi and Ting Ma
Harbin Institute of Technology - School of Electronics and Information Engineering, Third People's Hospital of Shenzhen, Harbin Institute of Technology - School of Electronics and Information Engineering, Harbin Institute of Technology - School of Electronics and Information Engineering, Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention and Harbin Institute of Technology - School of Electronics and Information Engineering
Downloads 43 (1,145,425)

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Deep learning, COVID-19 infection segmentation, Low-level feature, Texture