Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
LION Documentation
LION Documentation

User guide

  • Getting Started
  • Architecture
  • Testing
  • Documentation Status
  • PaDIS Reproduction
    • Setup, Data, and Backends
    • Training Models and Selecting Checkpoints
    • Reconstruction Methods and Experiments
    • Tuned Reconstruction Defaults
    • Running, Resuming, Verifying, and Reporting
    • PaDIS Concepts
    • Script Reference
  • Project README
    • LION package
      • Data loaders README
        • LIDC-IDRI README
        • LUNA16 README 🚧
      • Models README
    • Demo README 🚧
    • Scripts README 🚧
      • Example scripts README 🚧
      • Paper scripts README
        • Continuous Learned Primal Dual README 🚧
        • PaDIS-Reproduction README
      • Hackathon scripts
        • Synerby26 hackathon README 🚧

Reference

  • API Reference
    • Repository Python API
      • LION/
        • CTtools/
          • __init__.py
          • ct_geometry.py
          • ct_transforms.py
          • ct_utils.py
        • classical_algorithms/
          • __init__.py
          • conjugate_gradient.py
          • fdk.py
          • fista.py
          • sirt.py
          • spgl1_torch.py
          • tv_min.py
        • data_loaders/
          • 2deteCT/
            • download.py
            • pre_process_2deteCT.py
          • LIDC_IDRI/
            • pre_process_lidc_idri.py
          • LUNA16/
            • __init__.py
            • data_loader.py
            • data_primitives.py
            • dowload.py
            • pre_processing.py
          • walnuts/
            • download.py
            • walnuts.py
          • LIDC_IDRI.py
          • __init__.py
          • deteCT.py
          • luna16_dataset.py
        • exceptions/
          • exceptions.py
        • experiments/
          • __init__.py
          • ct_2DeteCT_noise_experiments.py
          • ct_benchmarking_experiments.py
          • ct_experiments.py
        • losses/
          • PaDIS.py
          • SURE.py
          • SUREpgImage.py
        • metrics/
          • __init__.py
          • haarpsi.py
          • psnr.py
          • ssim.py
        • models/
          • CNNs/
            • UNets/
              • 3D_Res_UNet.py
              • Unet.py
              • __init__.py
            • MSDNet.py
            • MSD_pytorch.py
            • __init__.py
            • dncnn.py
            • drunet.py
          • PnP/
            • __init__.py
            • gradient_step_denoiser.py
            • gs_drunet.py
          • diffusion/
            • NCSNpp_helpers/
              • __init__.py
              • layers.py
              • layerspp.py
              • normalization.py
              • sde_lib.py
              • up_or_down_sampling.py
              • utils.py
            • NCSNpp.py
            • __init__.py
          • fully_learned/
            • __init__.py
          • iterative_unrolled/
            • ItNet.py
            • LG.py
            • LPD.py
            • __init__.py
            • cLPD.py
          • learned_fbp/
            • DeepFBP.py
            • DeepFusionBP.py
            • FusionFBP.py
          • learned_regularizer/
            • ACR.py
            • AR.py
            • __init__.py
          • post_processing/
            • FBPConvNet.py
            • FBPConvNetImage.py
            • FBPMSDNet.py
            • __init__.py
            • cFBPConvNet.py
          • LIONmodel.py
          • __init__.py
        • operators/
          • CTProjectionOp.py
          • CompositeOp.py
          • DebiasOp.py
          • Operator.py
          • PhotocurrentMapOp.py
          • WalshHadamard2D.py
          • Wavelet2D.py
          • __init__.py
        • optimizers/
          • AdversarialRegularizerSolver.py
          • Equivariance2InverseSolver.py
          • EquivariantSolver.py
          • GaussianDenoiserSolver.py
          • LIONsolver.py
          • Noise2InverseSolver.py
          • Noisier2Inverse.py
          • PaDISSolver.py
          • Proj2ProjSolver.py
          • SelfSupervisedSolver.py
          • Sparse2InverseSolver.py
          • SupervisedSolver.py
          • __init__.py
        • reconstructors/
          • diffusion/
            • padis/
              • __init__.py
              • citations.py
              • generation.py
              • parameters.py
              • physics.py
              • prior.py
              • sampling.py
            • PaDIS.py
            • __init__.py
            • data_consistency.py
            • dps_langevin.py
            • langevin.py
            • predictor_corrector.py
          • LIONreconstructor.py
          • PnP.py
          • __init__.py
        • utils/
          • __init__.py
          • math.py
          • normaliser.py
          • parameter.py
          • paths.py
          • test_model.py
          • utils.py
        • __init__.py
      • scripts/
        • data_generation_scripts/
          • LIDC-IDRI.py
          • LUNA16.py
        • dev/
          • check_padis_login_cache_smoke.py
          • check_padis_public_recon_alignment.py
          • check_padis_repo_equivalence.py
          • check_padis_short_run_reproduction.py
          • run_padis_machine_preflight.py
          • run_padis_training_smoke.py
          • verify_padis_reconstruction_quality.py
        • example_scripts/
          • GaussianDenoiser.py
          • LPD.py
          • Learned_FBP.py
          • Noise2Inverse.py
          • PnP_ADMM.py
          • SURE.py
          • Sparse2Inverse.py
          • equivariant_imaging.py
          • gradient_step_denoiser.py
          • photocurrent_mapping.py
        • paper_scripts/
          • Continuous_Learned_Primal_Dual/
            • ContinuousLPD.py
            • evaluate_ssim_psnr.py
          • PaDIS-Reproduction/
            • core/
              • PaDIS_experiments.py
            • reconstruction/
              • PaDIS_LIDC_generation.py
              • PaDIS_LIDC_reconstruction.py
              • PaDIS_identifiers.py
              • PaDIS_reconcile_reconstruction_manifest.py
              • PaDIS_run_reconstruction_matrix.py
              • PaDIS_verify_reconstruction_matrix.py
            • reporting/
              • PaDIS_make_paper_figures.py
              • PaDIS_make_tables.py
            • training/
              • PaDIS_LIDC_256.py
              • PaDIS_LIDC_512.py
              • PaDIS_LIDC_PnP_denoiser.py
              • check_padis_lidc_256_denoising.py
            • tuning/
              • PaDIS_hparam_defaults.py
              • PaDIS_run_reproduction_tuning.py
              • PaDIS_summarize_hparam_tuning.py
              • PaDIS_tune_reconstruction_hyperparameters.py
        • run_tests.py
      • utils/
      • tests/
        • CTtools/
          • test_ct_utils_hu.py
        • classical_algorithms/
          • test_fista.py
          • test_spgl1.py
          • test_tv_min.py
        • data_loaders/
          • test_lidc_idri_slice_selection.py
        • experiments/
          • test_padis_ct_experiments.py
          • test_padis_gcp_spot_training.py
          • test_padis_make_tables.py
          • test_padis_paper_figures.py
          • test_padis_pipeline_entrypoint.py
          • test_padis_pnp_training.py
          • test_padis_readme_warnings.py
          • test_padis_reconstruction_driver.py
          • test_padis_reconstruction_matrix.py
          • test_padis_reconstruction_reconcile.py
          • test_padis_reconstruction_verifier.py
          • test_padis_slurm_pipeline.py
          • test_padis_slurm_pnp_submit.py
          • test_padis_slurm_reconstruction_submit.py
          • test_padis_slurm_training_tasks.py
          • test_padis_wandb_resume.py
        • models/
          • test_padis_reconstructor.py
          • test_padis_training.py
        • operators/
          • test_composite_op.py
          • test_ct_op.py
          • test_pcm_op.py
          • test_wavelet.py
          • test_wht.py
        • utils/
          • test_operator_norm.py
        • __init__.py
        • conftest.py
        • helper.py
        • test_run_tests.py
      • demos/
        • d00_LUNA16.py
        • d01_ct_simulation.py
        • d02_parameters.py
        • d03_ct_experiments.py
        • d04_LION_models.py
      • setup.py
Back to top
View this page
Edit this page

API Reference¶

The API follows the current top-level LION package structure. Pages are generated from NumPy-style docstrings with Sphinx autodoc. A 🚧 marker means that a module is indexed but has not yet received the same documentation audit as the PaDIS, CT, and LIDC-IDRI paths.

  • Repository Python API
    • Directory README
      • LION: AI tools for learned tomographic and other image reconstruction tasks
        • Datasets
        • Models/Methods
        • Operators
        • Developers
        • Documentation
        • Contributors
    • Directory entries
Next
Repository Python API
Previous
Synerby26 hackathon README 🚧
Copyright © 2026, Cambridge Computational Imaging Group and contributors
Made with Sphinx and @pradyunsg's Furo