{"id":"W2104956252","doi":"10.1109/icip.2006.312765","title":"Image Based Temporal Registration of MRI Data for Medical Visualization","year":2006,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Image registration; Computer science; Visualization; Computer vision; Artificial intelligence; Medical imaging; Data visualization; Image (mathematics); Computer graphics (images)","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":[0.0008881997,0.0007447763,0.00044915,0.001551618,0.0003314192,0.001483048,0.0008167257,0.0008008566,0.008926958],"category_scores_gemma":[0.005490889,0.0003701446,0.0005465575,0.001944144,0.0004127743,0.001245302,0.0009320621,0.001059231,0.002389678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003464157,"about_ca_system_score_gemma":0.0005193717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007050716,"about_ca_topic_score_gemma":0.0009625981,"domain_scores_codex":[0.9994374,0.0001939682,0.00005263887,0.00007941868,0.0002061446,0.00003046832],"domain_scores_gemma":[0.9982188,0.0007453428,0.0001671393,0.0004689342,0.0003343032,0.0000654262],"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":[0.0005128769,0.0001063304,0.000689971,0.0007186705,0.00008436687,0.0003350895,0.0003255769,0.01867601,0.3355149,0.01419316,0.01233828,0.6165048],"study_design_scores_gemma":[0.0001354143,0.0007184691,0.00673099,0.000221563,0.0001872053,0.003458241,0.0003659501,0.4938377,0.3518446,0.02636442,0.1159321,0.0002033549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005962478,0.0007420342,0.987946,0.0003015811,0.0001068554,0.0001175356,0.0003682004,0.002403054,0.002052277],"genre_scores_gemma":[0.06664914,0.001636413,0.9276105,0.00009866867,0.0001485836,0.0001923918,0.0009546051,0.0007451771,0.00196452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008926958,"threshold_uncertainty_score":0.02986366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266841528386277,"score_gpt":0.307340852993684,"score_spread":0.2846724377098213,"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."}}