"MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to ..."

Jialiang Li et al. (2020)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2020.3025828

access: open

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/LiYDLLZXHZ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/LiYDLLZXHZ20
Jialiang Li, Zhaomin Yao, Meiyu Duan, Shuai Liu, Fei Li, Haiyang Zhu, Zhiqiang Xia, Lan Huang, Fengfeng Zhou:
MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI. IEEE Access 8: 174023-174031 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.