CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.
Nima HatamiTae-Hee ChoLaura MechtouffOmer Faruk EkerDavid RousseauCarole FrindelPublished in: CoRR (2022)
Keyphrases
- data fusion
- ischemic stroke
- myocardial infarction
- multiple sclerosis
- healthy volunteers
- multi sensor
- deep brain
- information fusion
- clinical studies
- magnetic resonance imaging
- clinical data
- magnetic resonance images
- fusion algorithm
- patient data
- multi source
- health care
- medical images
- fusion method
- clinical trials
- clinical practice
- multi sensor data fusion
- post operative
- mri data
- clinically relevant
- multiple sensors
- medical treatment
- clinical information
- patient records
- fusion methods
- medical imaging
- source selection
- mr images
- recurrent neural networks
- medical records
- medical doctors
- patient groups
- image fusion
- high resolution
- medical experts
- image analysis
- coronary artery disease
- clinical setting
- situation assessment
- disease progression
- intensive care
- fusion process
- white matter
- intraoperative