{"id":"W1966036634","doi":"10.1117/12.878386","title":"Feature-based US to CT registration of the aortic root","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"","keywords":"Biplane; Computer science; Image registration; Computer vision; Artificial intelligence; Initialization; Fluoroscopy; Feature (linguistics); Cardiac skeleton; Iterative closest point; Aortic valve; Medicine; Aortic root; Radiology; Point cloud; Image (mathematics); Aorta; Surgery","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":[0.0006367399,0.0004288905,0.0005581958,0.0009779306,0.0002562247,0.0009921424,0.000825654,0.0008149477,0.001198053],"category_scores_gemma":[0.002152767,0.0004990377,0.0006222142,0.0007538667,0.0003708155,0.0005335708,0.0009007363,0.0007495829,0.0007257343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355599,"about_ca_system_score_gemma":0.0007438918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107682,"about_ca_topic_score_gemma":0.001436747,"domain_scores_codex":[0.9995263,0.00007603181,0.00003803097,0.0001094889,0.0002216404,0.00002858083],"domain_scores_gemma":[0.9994271,0.0001831462,0.00008054458,0.0001529967,0.0001332515,0.0000231187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005179375,0.0001465689,0.003243483,0.000260114,0.00009656471,0.0005787913,0.0002823999,0.05632603,0.4590946,0.003308326,0.001726561,0.4744186],"study_design_scores_gemma":[0.0000536718,0.0004460636,0.008988494,0.00003265515,0.00008749444,0.004050462,0.00006707306,0.6326341,0.3412166,0.002168722,0.01012733,0.0001273984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03570431,0.000187832,0.9617717,0.00004187532,0.00003309578,0.00009480171,0.00009389009,0.001495506,0.000577007],"genre_scores_gemma":[0.2343633,0.0002232599,0.763335,0.00005021517,0.00002287567,0.0001177128,0.0002579487,0.0002953224,0.001334332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001198053,"threshold_uncertainty_score":0.004007876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386792908401557,"score_gpt":0.261949210300123,"score_spread":0.2480812812161075,"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."}}