{"id":"W2538412732","doi":"10.1109/nssmic.2007.4436772","title":"Fast 3D image reconstruction method based on SVD decomposition of a block-circulant system matrix","year":2007,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Singular value decomposition; Iterative reconstruction; Circulant matrix; Matrix decomposition; Projection (relational algebra); Matrix (chemical analysis); Computer vision; Computer science; Artificial intelligence; Algorithm; Mathematics; 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":[0.0003472251,0.0005247594,0.0005238036,0.0007322437,0.0002576979,0.000705453,0.0005535426,0.0005598096,0.00262099],"category_scores_gemma":[0.0005655306,0.0004204213,0.0008548285,0.000489821,0.0002848103,0.0005774408,0.0005615909,0.0007072937,0.001217664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516338,"about_ca_system_score_gemma":0.0006436147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503604,"about_ca_topic_score_gemma":0.001573846,"domain_scores_codex":[0.999744,0.00004430561,0.00001249683,0.00003530283,0.0001448761,0.00001897614],"domain_scores_gemma":[0.9997749,0.00006080884,0.00002626479,0.00003477887,0.00008598335,0.00001745108],"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":[0.0002158873,0.00006197827,0.001033,0.0004780454,0.0001150197,0.0005375814,0.000300371,0.1443265,0.3451612,0.04159281,0.007045807,0.4591319],"study_design_scores_gemma":[0.00001836168,0.00006572592,0.0003727994,0.00001418283,0.00001990484,0.0005915603,0.00002290705,0.953811,0.03316873,0.002801949,0.009060416,0.00005246583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002507034,0.0001012384,0.9965194,0.00004199656,0.00002254266,0.00001455088,0.00003300909,0.0003182493,0.0004419991],"genre_scores_gemma":[0.04383235,0.0003094354,0.9539937,0.00004510057,0.00002920257,0.00005441511,0.0001948501,0.0001097169,0.001431231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00262099,"threshold_uncertainty_score":0.008768082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296366573195364,"score_gpt":0.3603933432136832,"score_spread":0.3474296774817296,"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."}}