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LION 0.2.0
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LION 0.2.0

Using LION

  • Tutorials
    • Operators: CT geometry, projections and reconstructions
    • Parameters and specs
    • Data and experiments
    • Models
    • Supervised training
    • Self-supervised training
    • Denoisers and Plug-and-Play
    • Learned regularisers
    • Saving, loading and records
    • Reconstructors
    • Evaluation and comparison
    • Publishing and reproducing
    • Extending LION
  • Example scripts

Reference

  • Methods in LION
  • API reference
    • LION.operators
      • LION.operators.CompositeOp
      • LION.operators.DebiasOp
      • LION.operators.Operator
      • LION.operators.Wavelet2D
      • LION.operators.ct
        • LION.operators.ct.CTProjectionOp
        • LION.operators.ct.ct_geometry
        • LION.operators.ct.ct_utils
        • LION.operators.ct.fdk
        • LION.operators.ct.sirt
        • LION.operators.ct.tv_min
      • LION.operators.pcm
        • LION.operators.pcm.PhotocurrentMapOp
        • LION.operators.pcm.WalshHadamard2D
    • LION.data_loaders
      • LION.data_loaders.LIDC_IDRI
      • LION.data_loaders.LIONDataset
      • LION.data_loaders.data_record
      • LION.data_loaders.deteCT
    • LION.experiments
      • LION.experiments.ct_experiments
      • LION.experiments.deteCT_benchmark
    • LION.models
      • LION.models.CNNs
        • LION.models.CNNs.MSDNet
        • LION.models.CNNs.UNets
          • LION.models.CNNs.UNets.ResUNet3D
          • LION.models.CNNs.UNets.Unet
        • LION.models.CNNs.dncnn
        • LION.models.CNNs.drunet
      • LION.models.LIONmodel
      • LION.models.PnP
        • LION.models.PnP.gradient_step_denoiser
      • LION.models.fully_learned
      • LION.models.iterative_unrolled
        • LION.models.iterative_unrolled.ItNet
        • LION.models.iterative_unrolled.LG
        • LION.models.iterative_unrolled.LPD
        • LION.models.iterative_unrolled.cLPD
      • LION.models.learned_fbp
        • LION.models.learned_fbp.DeepFBP
        • LION.models.learned_fbp.DeepFusionBP
        • LION.models.learned_fbp.FusionFBP
      • LION.models.learned_regularizer
        • LION.models.learned_regularizer.ACR
        • LION.models.learned_regularizer.AR
      • LION.models.post_processing
        • LION.models.post_processing.FBPConvNet
        • LION.models.post_processing.FBPConvNetImage
        • LION.models.post_processing.cFBPConvNet
      • LION.models.torch_model
    • LION.optimizers
      • LION.optimizers.AdversarialRegularizerSolver
      • LION.optimizers.Equivariance2InverseSolver
      • LION.optimizers.EquivariantSolver
      • LION.optimizers.GaussianDenoiserSolver
      • LION.optimizers.LIONsolver
      • LION.optimizers.Noise2InverseSolver
      • LION.optimizers.Noisier2InverseSolver
      • LION.optimizers.Proj2ProjSolver
      • LION.optimizers.SelfSupervisedSolver
      • LION.optimizers.Sparse2InverseSolver
      • LION.optimizers.SupervisedSolver
      • LION.optimizers.training_record
    • LION.losses
      • LION.losses.SURE
      • LION.losses.SUREpgImage
      • LION.losses.jacobian_penalty
    • LION.reconstructors
      • LION.reconstructors.ForwardReconstructor
      • LION.reconstructors.LIONreconstructor
      • LION.reconstructors.LearnedRegularizerReconstructor
      • LION.reconstructors.PnP
    • LION.classical_algorithms
      • LION.classical_algorithms.conjugate_gradient
      • LION.classical_algorithms.fista
      • LION.classical_algorithms.spgl1_torch
    • LION.evaluation
      • LION.evaluation.comparison
      • LION.evaluation.evaluation
      • LION.evaluation.figures
      • LION.evaluation.methods
    • LION.metrics
      • LION.metrics.haarpsi
      • LION.metrics.psnr
      • LION.metrics.ssim
    • LION.package
    • LION.utils
      • LION.utils.citation
      • LION.utils.common_primitives
      • LION.utils.device
      • LION.utils.environment
      • LION.utils.image_transforms
      • LION.utils.math
      • LION.utils.mrpro_import
      • LION.utils.normaliser
      • LION.utils.parameter
      • LION.utils.paths
      • LION.utils.rng
      • LION.utils.spec
      • LION.utils.spyrit_import
      • LION.utils.tomosipo_import
      • LION.utils.utils

Project

  • Developer guide
  • Citing LION
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LION.lossesΒΆ

Modules

SURE

SUREpgImage

jacobian_penalty

Penalties on a denoiser's Jacobian, for Plug-and-Play methods that converge.
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