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Implement new models (#228) #229

Merged
merged 1 commit into from
Oct 31, 2022
Merged

Implement new models (#228) #229

merged 1 commit into from
Oct 31, 2022

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georgeyiasemis
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Implement Additional MRI Models

  • Conjugate Gradient Network - ConjGradNet (along with baseline)
  • Iterative Dual Network - IterDualNet (Similar to JointICNet but no optimisation for sensitivity maps in the model)
  • Simple Residual Network - ResNet, which can be used as a denoiser (replacement of UNet or DIDN, etc)
  • Variable Splitting Network - VarSplitNet, solves the variable splitting optimization problem for MRI using a DL denoiser for the denoising equation and gradient descent for the data consistency equation

Implement Additional MRI Models
- Conjugate Gradient Network - ConjGradNet (along with baseline)
- Iterative Dual Network - IterDualNet (Similar to JointICNet but no optimisation for sensitivity maps in the model)
- Simple Residual Network - ResNet, which can be used as a denoiser (replacement of UNet or DIDN, etc)
- Variable Splitting Network - VarSplitNet, solves the variable splitting optimization problem for MRI using a DL denoiser for the denoising equation and gradient descent for the data consistency equation
@github-actions github-actions bot added documentation Improvements or additions to documentation python labels Oct 31, 2022
@georgeyiasemis georgeyiasemis merged commit 211748a into gaussian-sampling Oct 31, 2022
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