{"id":"W1982080133","doi":"10.1109/tbme.2012.2230262","title":"Multistructure Large Deformation Diffeomorphic Brain Registration","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Image registration; Artificial intelligence; Robustness (evolution); Diffeomorphism; Computer vision; Computer science; Brain morphometry; Matching (statistics); Pattern recognition (psychology); Neuroimaging; Neuroscience; Magnetic resonance imaging; Mathematics; Psychology; Medicine; Biology","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":[0.001482255,0.001166209,0.001116247,0.001848227,0.000750309,0.001411526,0.001252744,0.001621125,0.004055385],"category_scores_gemma":[0.003692695,0.0006868329,0.001490008,0.00199392,0.0007934187,0.001360735,0.002399931,0.001482413,0.002026837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000505867,"about_ca_system_score_gemma":0.001083475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117963,"about_ca_topic_score_gemma":0.002490815,"domain_scores_codex":[0.9991025,0.0002081033,0.00006579505,0.0002657634,0.0003004916,0.00005749203],"domain_scores_gemma":[0.9991898,0.0002094686,0.00008798144,0.0003720681,0.0001133657,0.00002723324],"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":[0.0003165473,0.0002475427,0.002197779,0.0004977168,0.0004432838,0.0008999509,0.0005618858,0.2205479,0.1676465,0.07692532,0.01261431,0.5171013],"study_design_scores_gemma":[0.00006413712,0.000260727,0.004946698,0.00004541709,0.0001125214,0.001885896,0.0001207939,0.7934999,0.08435708,0.07765475,0.03690523,0.000146766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007773967,0.0001647145,0.9890492,0.0001243646,0.00003913934,0.0001000361,0.0001830111,0.001171794,0.001393787],"genre_scores_gemma":[0.1730528,0.0003690143,0.8199962,0.0001565597,0.00005357098,0.0004245745,0.0008215259,0.001078142,0.004047547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004055385,"threshold_uncertainty_score":0.01356661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834519354254756,"score_gpt":0.2996760640480542,"score_spread":0.2713308705055066,"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."}}