├── .gitignore ├── LICENSE ├── README.md ├── docs └── images │ └── result2.png ├── papers ├── dgr │ ├── dose_experiment.py │ ├── figure.py │ ├── figure.sh │ ├── net_architecture_experiments.py │ ├── noise_experiments.py │ ├── num_params_experiment.py │ └── view_experiment.py └── self_super_ct_reconstuction │ ├── n2self_example.py │ └── n2self_train.py ├── requirements-dump.txt ├── requirements.txt ├── setup.py └── sparse_ct ├── __init__.py ├── data ├── __init__.py ├── benchmark.py ├── benchmark_ellipses │ ├── 1.png │ ├── 10.png │ ├── 2.png │ ├── 3.png │ ├── 4.png │ ├── 5.png │ ├── 6.png │ ├── 7.png │ ├── 8.png │ └── 9.png ├── benchmark_human │ ├── 10.png │ ├── 19.png │ ├── 20.png │ ├── 36.png │ ├── 37.png │ ├── 4.png │ ├── 46.png │ ├── 69.png │ ├── 8.png │ └── 81.png ├── bp_160u_dense │ ├── 100.jpg │ ├── 120.jpg │ ├── 140.jpg │ ├── 160.jpg │ ├── 180.jpg │ ├── 200.jpg │ ├── 220.jpg │ ├── 240.jpg │ ├── 260.jpg │ └── 280.jpg ├── ct1.jpg ├── ct2.jpg ├── selected │ ├── 1.png │ ├── 1.x.png │ ├── 2.png │ ├── 2.x.png │ ├── 3.png │ ├── 3.x.png │ ├── 4.png │ ├── 4.x.png │ ├── 5.png │ └── 5.x.png ├── sl.png ├── walnut.jpg └── zebra.jpg ├── dataset └── __init__.py ├── example ├── all_example.py ├── art_example.py ├── benchmark_parser.py ├── bm3d_example.py ├── conventional_example.py ├── dgr_example.py ├── n2self_example.py ├── n2self_train.py ├── paper_figure.py ├── run_benchmarks.py ├── show_image.py ├── supervised_example.py └── supervised_train.py ├── loss ├── __init__.py ├── perceptual.py └── tv.py ├── meta_test.ipynb ├── metric.py ├── model ├── __init__.py ├── common.py ├── dncnn.py ├── downsampler.py ├── get.py ├── partialconv2d.py ├── skip.py └── unet.py ├── reconstructor_2d ├── __init__.py ├── analytic.py ├── base.py ├── dataset.py ├── dgr.py ├── fbpunet.py ├── iterative.py ├── mask.py ├── meta.py ├── n2self.py ├── n2selfS.py ├── perceptual_tv.py ├── supervised.py └── supervised_iterative.py └── tool.py /.gitignore: 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