MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction

Niharika Shimona D'Souza, Hongzhi Wang 0002, Andrea Giovannini, Antonio Foncubierta Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood. MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. In Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle, editors, Machine Learning for Multimodal Healthcare Data - First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings. Volume 14315 of Lecture Notes in Computer Science, pages 141-154, Springer, 2023. [doi]

@inproceedings{DSouzaWGFBBS23,
  title = {MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction},
  author = {Niharika Shimona D'Souza and Hongzhi Wang 0002 and Andrea Giovannini and Antonio Foncubierta Rodríguez and Kristen L. Beck and Orest B. Boyko and Tanveer F. Syeda-Mahmood},
  year = {2023},
  doi = {10.1007/978-3-031-47679-2_11},
  url = {https://doi.org/10.1007/978-3-031-47679-2_11},
  researchr = {https://researchr.org/publication/DSouzaWGFBBS23},
  cites = {0},
  citedby = {0},
  pages = {141-154},
  booktitle = {Machine Learning for Multimodal Healthcare Data - First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings},
  editor = {Andreas K. Maier and Julia A. Schnabel and Pallavi Tiwari and Oliver Stegle},
  volume = {14315},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-47679-2},
}