"M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional ..."

Niharika Shimona D'Souza et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-10-25

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/midl/DSouzaNCRMV21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/midl/DSouzaNCRMV21
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations. MIDL 2021: 119-130

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.