Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks.
Mohammad Mahdi Shiraz BhurwaniMohammad WaqasKyle A. WilliamsRyan A. RavaAlexander R. PodgorsakKenneth V. SnyderElad I. LevyJason M. DaviesAdnan H. SiddiquiCiprian N. IonitaPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- recurrent neural networks
- intracranial aneurysms
- neural network
- computational fluid dynamics
- feed forward
- x ray
- clinical workflow
- echo state networks
- image processing
- recurrent networks
- medical imaging
- neural model
- reservoir computing
- artificial neural networks
- cascade correlation
- computer vision
- patient specific
- clinical practice
- real time
- numerical simulations
- coronary artery
- theoretical analysis
- medical images
- optical coherence tomography
- nonlinear dynamic systems
- direct volume rendering
- database systems