A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data

Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel. A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. In 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023. pages 1-5, IEEE, 2023. [doi]

@inproceedings{HatamiMRCEBF23,
  title = {A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data},
  author = {Nima Hatami and Laura Mechtouff and David Rousseau and Tae-Hee Cho and Omer Faruk Eker and Yves Berthezene and Carole Frindel},
  year = {2023},
  doi = {10.1109/ISBI53787.2023.10230459},
  url = {https://doi.org/10.1109/ISBI53787.2023.10230459},
  researchr = {https://researchr.org/publication/HatamiMRCEBF23},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-7358-3},
}