Our results demonstrate that the multimodal joint fusion approach outperforms the classification results obtained with data acquired by a single MRI modality as it efficiently exploits the complementarity of structural and functional brain information.
Keyphrases
- deep learning
- resting state
- autism spectrum disorder
- white matter
- machine learning
- functional connectivity
- magnetic resonance imaging
- health information
- artificial intelligence
- cerebral ischemia
- convolutional neural network
- electronic health record
- contrast enhanced
- multiple sclerosis
- healthcare
- attention deficit hyperactivity disorder
- subarachnoid hemorrhage
- brain injury