{"id":"W2138868718","doi":"10.3109/10929080500079248","title":"Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations","year":2004,"lang":"en","type":"article","venue":"Computer Aided Surgery","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University Health Centre; Rogue Research (Canada); McGill University","funders":"","keywords":"Computer science; Ultrasound; Brain tissue; Image registration; Artificial intelligence; Surgical planning; Linear correlation; Radiology; Computer vision; Medicine; Biomedical engineering; Image (mathematics); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765697,0.000117318,0.0002711593,0.0001026928,0.0001462139,0.00002657556,0.00004074362,0.00005028072,0.00001731629],"category_scores_gemma":[0.000174261,0.00007779777,0.0001809754,0.0001921898,0.00005531522,0.0001268385,0.000009908617,0.00006725229,0.00001202957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061296,"about_ca_system_score_gemma":0.0001559279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006620918,"about_ca_topic_score_gemma":0.00002695198,"domain_scores_codex":[0.9991689,0.00002703364,0.0003812782,0.0001392534,0.0001451425,0.0001383851],"domain_scores_gemma":[0.9976904,0.001717395,0.0001494348,0.0002308125,0.0001622987,0.00004963452],"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":[0.000528509,0.005083851,0.0507624,0.001178913,0.002819782,0.0001035465,0.01208715,0.1594935,0.01181512,0.003229427,0.3555101,0.3973877],"study_design_scores_gemma":[0.006174436,0.001090213,0.2462458,0.001443372,0.000628652,0.0005557159,0.0007303009,0.661707,0.07597497,0.001166033,0.00377867,0.0005048045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6659332,0.00007674575,0.328681,0.003479728,0.000848428,0.0008382045,0.00001086697,0.00005413238,0.00007770718],"genre_scores_gemma":[0.9913881,0.0000311656,0.007519341,0.0005338428,0.0002214638,0.0001441825,0.0001270421,0.00001237236,0.00002247928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5022135,"threshold_uncertainty_score":0.3172501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218892347250086,"score_gpt":0.2831774310238546,"score_spread":0.2609885075513537,"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."}}