Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Leon Yichen CaiHo Hin LeeNancy Rose NewlinCailey Irene KerleyPraitayini KanakarajQi YangGraham Walter JohnsonDaniel MoyerKurt Gregory SchillingFrancois RheaultBennett A. LandmanPublished in: MIDL (2023)
Keyphrases
- recurrent neural networks
- fiber tracts
- mri data
- white matter
- medical images
- magnetic resonance imaging
- fiber bundles
- brain white matter
- neural network
- dt mri
- feed forward
- recurrent networks
- diffusion mri
- echo state networks
- diffusion tensor
- neural model
- reservoir computing
- magnetic resonance images
- artificial neural networks
- feedforward neural networks
- brain atlas
- chaotic time series
- cascade correlation
- diffusion tensor images
- tensor field
- anatomical structures
- high resolution
- artificial intelligence
- anisotropic diffusion
- decision making