{"id":"W2001658153","doi":"10.1109/isspa.2012.6310524","title":"CT image reconstruction from few views via compressed sensing","year":2012,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Streaking; Compressed sensing; Computer science; Artificial intelligence; Computer vision; Iterative reconstruction; Image (mathematics); Image quality; Sampling (signal processing); Radiation dose; Optics; Nuclear medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449486,0.000673393,0.0006455401,0.0006596039,0.0002593503,0.0006166177,0.0005657031,0.0008517608,0.001260586],"category_scores_gemma":[0.001928744,0.000382266,0.0005267361,0.000531396,0.0003786921,0.001000543,0.0005941797,0.0009813682,0.00039978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700473,"about_ca_system_score_gemma":0.0004047818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008999247,"about_ca_topic_score_gemma":0.001170694,"domain_scores_codex":[0.9996784,0.00007568316,0.0000211906,0.00004484083,0.0001648477,0.00001504471],"domain_scores_gemma":[0.9993328,0.0003250951,0.00008028691,0.0001063518,0.0001117803,0.00004359358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006032826,0.0001436498,0.001372094,0.0004982585,0.0001429684,0.000608465,0.000223363,0.1062532,0.3176421,0.0156427,0.002512468,0.5543576],"study_design_scores_gemma":[0.00003939572,0.000202712,0.0006989308,0.00003334256,0.00004727541,0.001609032,0.00003039856,0.9256554,0.06330393,0.004937044,0.003384113,0.0000584176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01128683,0.0003716218,0.9873405,0.0001998084,0.00004530213,0.00002607595,0.00003304569,0.000167086,0.0005296325],"genre_scores_gemma":[0.1383393,0.00081929,0.8592955,0.000179377,0.000131629,0.00004988068,0.0001410973,0.00006178563,0.000982201],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001260586,"threshold_uncertainty_score":0.004217029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596340790756637,"score_gpt":0.3344470191693529,"score_spread":0.2884836112617866,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}