{ "format": "oscr-script-manifest/1", "repository": "github.com/synerbi/petric-magez", "url": "https://github.com/SyneRBI/PETRIC-MaGeZ", "host": "github.com", "commit": "65548b7facae6b0bd8dd9ca4e72568159694b2fb", "license": "Apache-2.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4", "language": "License", "lines": 201, "truncated": false, "block": 1, "row": 2216 }, { "path": "README.md", "sha256": "c19b6533eb100169efbdaeb9a646945e6b35677c66e64f0b65f73cbf056de4b5", "language": "Text", "lines": 170, "truncated": false, "block": 18, "row": 11084 }, { "path": "SIRF_data_preparation/GE_DMI3_Torso/VOI_prep.py", "sha256": "5906d8c64c213e8bf94393a31374b7b3e0185084e1716ae7a9ff4bf6ca68007b", "language": "Python", "lines": 83, "truncated": false, "block": 17, "row": 24206 }, { "path": "SIRF_data_preparation/Mediso_NEMA_IQ/prepare.py", "sha256": "a802e65b3054ddb0a017e96168fb26f13b76f6e7b5977be436c77fe66e627f7f", "language": "Python", "lines": 11, "truncated": false, "block": 17, "row": 18088 }, { "path": "SIRF_data_preparation/NeuroLF_Hoffman_Dataset/BSREM_NeuroLF_Hoffman.py", "sha256": "91fda6244af08ce78c678397de393d7fea410202426fe1968f15116ace6694c8", "language": "Python", "lines": 25, "truncated": false, "block": 17, "row": 20943 }, { "path": "SIRF_data_preparation/NeuroLF_Hoffman_Dataset/NeuroLF_VOIs.py", "sha256": "6e8b651662b5afe8750f652a84227b44688e5ee3746a404cc7315a5506707ad7", "language": "Python", "lines": 97, "truncated": false, "block": 17, "row": 24608 }, { "path": "SIRF_data_preparation/PET_plot_functions.py", "sha256": "362c903d87e711076dbdfcabec5c86921c87c97b49f1f21dc0a080e1d268c4c5", "language": "Python", "lines": 36, "truncated": false, "block": 17, "row": 21187 }, { "path": "SIRF_data_preparation/Siemens_Vision600_thorax/BSREM_Vision600_thorax.py", "sha256": "b70e26146e7052833f4a2cd69f5c6bdc1b7eaf99e216b8ecaa0af568505e4972", "language": "Python", "lines": 39, "truncated": false, "block": 17, "row": 22047 }, { "path": "SIRF_data_preparation/Siemens_Vision600_thorax/Siemens_Vision600_thorax_VOI_prep.sh", "sha256": "c2cba56e3b1ff46ec125c503ff1f6c19926110ef25017fb9ae81b0445c3f0f0e", "language": "Shell", "lines": 21, "truncated": false, "block": 18, "row": 9333 }, { "path": "SIRF_data_preparation/Siemens_mMR_ACR/VOI_prep.py", "sha256": "556cdf0569da267187158998f64d250c4d58526380172c85ec46e4e50e825464", "language": "Python", "lines": 95, "truncated": false, "block": 17, "row": 25068 }, { "path": "SIRF_data_preparation/Siemens_mMR_ACR/download.py", "sha256": "5d367fcddb266fd44b6925851f6b69d9eed5d2c2b4c45f1e6854467831cb21a8", "language": "Python", "lines": 46, "truncated": false, "block": 17, "row": 21470 }, { "path": "SIRF_data_preparation/Siemens_mMR_ACR/prepare.py", "sha256": "c332efe93c62b347b18628154baed1fabf4da31a7a039d5e0065bb13e8d62e24", "language": "Python", "lines": 46, "truncated": false, "block": 17, "row": 22281 }, { "path": "SIRF_data_preparation/Siemens_mMR_ACR/register_mumap.py", "sha256": "fd8126ff522ad23b45c8b186af812e3f27c8fd723cc2515331b1c6991439f7b4", "language": "Python", "lines": 30, "truncated": false, "block": 17, "row": 20904 }, { "path": "SIRF_data_preparation/Siemens_mMR_NEMA_IQ/BSREM_mMR_NEMA_IQ.py", "sha256": "820dbdce9d51e64410663b67ae376cfd3333907f910bfb1ff05e022ef276faff", "language": "Python", "lines": 25, "truncated": false, "block": 17, "row": 21007 }, { "path": "SIRF_data_preparation/Siemens_mMR_NEMA_IQ/Siemens_mMR_NEMA_VOIs.py", "sha256": "84bc6bdf79f1cc31db168d5fb993b81ac25438bf16735a9823e13c3c9685481d", "language": "Python", "lines": 84, "truncated": false, "block": 17, "row": 23986 }, { "path": "SIRF_data_preparation/Siemens_mMR_NEMA_IQ/download_Siemens_mMR_NEMA_IQ.py", "sha256": "4064f42ca9586c9de3f37e2656bc14084e9b33ec37d6a43ca5cc004c6847b91b", "language": "Python", "lines": 31, "truncated": false, "block": 17, "row": 20676 }, { "path": "SIRF_data_preparation/Siemens_mMR_NEMA_IQ/prepare_mMR_NEMA_IQ_data.py", "sha256": "22ece4e4ffe7f9e4d29b66dc006cc3d6cdc97281940e219a3c011678fcd6f321", "language": "Python", "lines": 49, "truncated": false, "block": 17, "row": 23008 }, { "path": "SIRF_data_preparation/Siemens_mMR_NEMA_IQ_lowcounts/prepare_mMR_NEMA_IQ_data.py", "sha256": "db85160c7bfd634cfb87d7b2b61a55371fac080054dc9b1fd0a2732f8e5d1163", "language": "Python", "lines": 48, "truncated": false, "block": 17, "row": 22917 }, { "path": "SIRF_data_preparation/create_initial_images.py", "sha256": "649144508eb2ca9a80b4e3d19923b45d3f0b76c366c7095fd38a0f72e7f9afe3", "language": "Python", "lines": 132, "truncated": false, "block": 17, "row": 29035 }, { "path": "SIRF_data_preparation/data_QC.py", "sha256": "ae0b5f40f6a44a2d86e017c55c9f192fc7d46e6627515ca148d641d233a9ab97", "language": "Python", "lines": 195, "truncated": false, "block": 17, "row": 30544 }, { "path": "SIRF_data_preparation/data_utilities.py", "sha256": "a7fd8b868e30d5c89dde310f179eb854614f0844f81f8e496404a851cb7b9a1a", "language": "Python", "lines": 193, "truncated": false, "block": 17, "row": 31120 }, { "path": "SIRF_data_preparation/dataset_settings.py", "sha256": "241d2a68f9d3498c3c9e5b9fd65c438b144447aa15d303fb2421e3d021761e52", "language": "Python", "lines": 18, "truncated": false, "block": 17, "row": 18820 }, { "path": "SIRF_data_preparation/evaluation_utilities.py", "sha256": "85e3efc2378b471bff8ed0b5f1926e7d2e91c109ccb73e085bbdeb1bf461c59a", "language": "Python", "lines": 54, "truncated": false, "block": 17, "row": 22661 }, { "path": "SIRF_data_preparation/plot_BSREM_metrics.py", "sha256": "9a03ad9380b30720996b6a5935da708128c25955678d61ad28552ec7a0711ae8", "language": "Python", "lines": 128, "truncated": false, "block": 17, "row": 27433 }, { "path": "SIRF_data_preparation/run_BSREM.py", "sha256": "41de7492eed2f448a05bf5203687070eb030368f00acf6efe25a708ec8d317ee", "language": "Python", "lines": 61, "truncated": false, "block": 17, "row": 23191 }, { "path": "SIRF_data_preparation/run_OSEM.py", "sha256": "4983934265eca7599faaf0e1e2cf222447d2731b4a43731565e7a5723b60db12", "language": "Python", "lines": 50, "truncated": false, "block": 17, "row": 21191 }, { "path": "challenge_results/plot_gradients.py", "sha256": "5d1573238629d3b69b3eaa1429b9c4d473013da6804feb3480a14b0f21550a90", "language": "Python", "lines": 216, "truncated": false, "block": 17, "row": 31743 }, { "path": "main.py", "sha256": "77557e550d9da524e2ae7ee8284d21f93626500058ba0928e68f3a7491f5aca7", "language": "Python", "lines": 387, "truncated": false, "block": 18, "row": 1690 }, { "path": "main_BSREM.py", "sha256": "87c136da86fdeb0f99be83d87887e7ba1f43ac4fc72718d6ffd62e9a82075eec", "language": "Python", "lines": 54, "truncated": false, "block": 17, "row": 23661 }, { "path": "main_ISTA.py", "sha256": "1cb1980ef40ddab9bf42d5dec51c3d89da95d8319e540792ed1a31a4287623cf", "language": "Python", "lines": 77, "truncated": false, "block": 17, "row": 26013 }, { "path": "main_OSEM.py", "sha256": "fb4f9c30e628f8b968ff8e9783cd5b0c82853390450da8ff4e76a544f945617e", "language": "Python", "lines": 99, "truncated": false, "block": 17, "row": 27736 }, { "path": "petric.py", "sha256": "7693b871f50484a1d9e98a53f95f4384fc9995006169ae4a1fb7404b8e213df7", "language": "Python", "lines": 313, "truncated": false, "block": 18, "row": 1977 }, { "path": "plot_data.py", "sha256": "d4fc6574fb766e68e4c36f5ffa5c36411d794d7b40b220c5baa2112e0fcf674d", "language": "Python", "lines": 136, "truncated": false, "block": 17, "row": 27214 }, { "path": "rdp.py", "sha256": "fc612ec2d66dd01107b87fb6fa336600c17b6af5e8e4d06937a320c21033bced", "language": "Python", "lines": 338, "truncated": false, "block": 17, "row": 32543 }, { "path": "run.sh", "sha256": "d5220af2d7908fba7bc8bce86e706e93cc036a1f28882f111ebe46b5ac7b5808", "language": "Shell", "lines": 6, "truncated": false, "block": 18, "row": 8650 }, { "path": "setup_docker.sh", "sha256": "43e72577f771bb48e9eb8135be18723dd20b59a844ed78657c37d4a457cc7a42", "language": "Shell", "lines": 2, "truncated": false, "block": 18, "row": 8682 }, { "path": "simulation_src/fig1_ref_recons.py", "sha256": "fe73bdfd2774546a508bc37c72775bac8c7be52eb0301c342bc6b624d660615a", "language": "Python", "lines": 86, "truncated": false, "block": 17, "row": 23220 }, { "path": "simulation_src/fig2_pc.py", "sha256": "86433b9ab03f7ea7d01416068ae3e27015e77155eb2e083c7b0d05c6f0849ef6", "language": "Python", "lines": 146, "truncated": false, "block": 17, "row": 28120 }, { "path": "simulation_src/fig3_fig4_alg_vs_subsets.py", "sha256": "2e291a3bc2bcaf0e42b6560d886f220a9ca8e4c6499d794cd3bdd23560f23f55", "language": "Python", "lines": 166, "truncated": false, "block": 17, "row": 29662 }, { "path": "simulation_src/fig5_sampling.py", "sha256": "1622d2e9890641e01505ed0c7edda68473d25032a99b5ceb84c124afb49caba2", "language": "Python", "lines": 186, "truncated": false, "block": 17, "row": 29985 }, { "path": "simulation_src/fig6_stepsize.py", "sha256": "20e3e7b42792fed0115e4d607e78749cc03dddc571f4a700bbbb184cada6a751", "language": "Python", "lines": 146, "truncated": false, "block": 17, "row": 27913 }, { "path": "simulation_src/fig7_fig_8_challenge.py", "sha256": "9a72797088d303f880ab85bf4f910d9cad56ef821f63075647dc12b39ad77efc", "language": "Python", "lines": 389, "truncated": false, "block": 18, "row": 1488 }, { "path": "simulation_src/run_fig2_4.py", "sha256": "174185dfff1b4afe558d0bd1a155d7b6afbad7737a33036088e1bd92cc2f5f2f", "language": "Python", "lines": 74, "truncated": false, "block": 17, "row": 21712 }, { "path": "simulation_src/run_fig5_sampling.py", "sha256": "d803474699a5351eedf21463df25d322083400ab681c933b23d27ac7c6f4f37d", "language": "Python", "lines": 150, "truncated": false, "block": 17, "row": 26068 }, { "path": "simulation_src/run_fig6_stepsize.py", "sha256": "d9a3732ae342f9a93b2f48e677ebbb93764c1924852032b61cbdd1f42a0d9dce", "language": "Python", "lines": 71, "truncated": false, "block": 17, "row": 22066 }, { "path": "simulation_src/sim_ablation.py", "sha256": "84a532594bf1f8cce757a2d78a4a20efc7468ae444253a3a807cb903fcba8095", "language": "Python", "lines": 701, "truncated": false, "block": 18, "row": 3496 }, { "path": "simulation_src/sim_phantoms.py", "sha256": "5eff980bc348574c522f5f99bc8872432b2e340f952ad549509d09f7cfc598c1", "language": "Python", "lines": 174, "truncated": false, "block": 17, "row": 28372 }, { "path": "simulation_src/sim_stochastic_grad.py", "sha256": "3f793e4d7088e76c239b9c740d8db4b97ce8e3f0bd649d4d1cb38bbf85ed91c3", "language": "Python", "lines": 635, "truncated": false, "block": 18, "row": 3071 }, { "path": "simulation_src/sim_utils.py", "sha256": "26c461c46e6197f2f2de55b61a036f8b79fbd8b1b29d2445790677e091afd78a", "language": "Python", "lines": 968, "truncated": false, "block": 18, "row": 4597 }, { "path": "test_gradients.py", "sha256": "00be088914afd0d2df577a63d2a05e0e43cabceb66212d5a0bc6354bb1d29bce", "language": "Python", "lines": 644, "truncated": false, "block": 18, "row": 3661 }, { "path": "test_petric.py", "sha256": "8833bf4cf293050d26ee4561354cfac5e46f9feed4709512a8c2e6fd9ef555d7", "language": "Python", "lines": 633, "truncated": false, "block": 18, "row": 3573 }, { "path": "test_rdp.py", "sha256": "3c1585539915b1663962498d0f0d0d3905d6cf9ef159943d94663d3c4a94209d", "language": "Python", "lines": 494, "truncated": false, "block": 18, "row": 2510 } ] }