Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data

Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen 0001. Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. In Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. pages 1381-1384, IEEE, 2021. [doi]

@inproceedings{KimKQHLSK021,
  title = {Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data},
  author = {Mansu Kim and Jaesik Kim and Jeffrey Qu and Heng Huang and Qi Long and Kyung-Ah Sohn and Dokyoon Kim and Li Shen 0001},
  year = {2021},
  doi = {10.1109/BIBM52615.2021.9669504},
  url = {https://doi.org/10.1109/BIBM52615.2021.9669504},
  researchr = {https://researchr.org/publication/KimKQHLSK021},
  cites = {0},
  citedby = {0},
  pages = {1381-1384},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021},
  editor = {Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li},
  publisher = {IEEE},
  isbn = {978-1-6654-0126-5},
}