CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients

Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel. CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 3430-3434, IEEE, 2022. [doi]

@inproceedings{HatamiCMERF22,
  title = {CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients},
  author = {Nima Hatami and Tae-Hee Cho and Laura Mechtouff and Omer Faruk Eker and David Rousseau and Carole Frindel},
  year = {2022},
  doi = {10.1109/EMBC48229.2022.9871735},
  url = {https://doi.org/10.1109/EMBC48229.2022.9871735},
  researchr = {https://researchr.org/publication/HatamiCMERF22},
  cites = {0},
  citedby = {0},
  pages = {3430-3434},
  booktitle = {44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-2782-8},
}