{"id":"W2140341164","doi":"10.1007/3-540-45787-9_20","title":"Interactive Intra-operative 3D Ultrasound Reconstruction and Visualization","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; 3D ultrasound; Modality (human–computer interaction); Computer vision; Ultrasound; Imaging phantom; Volume (thermodynamics); Visualization; Artificial intelligence; 3D reconstruction; Feature (linguistics); Modal; Computer graphics (images); Radiology; Medicine","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":[0.00010434,0.0002191633,0.0002695693,0.0002916285,0.0001290715,0.00006461594,0.0001125951,0.0001715251,0.00009075703],"category_scores_gemma":[0.0000686502,0.0001925091,0.00002933262,0.0001891982,0.0005602968,0.0002070274,0.0000738593,0.0004148599,0.000007174564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123006,"about_ca_system_score_gemma":0.0000688617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005139655,"about_ca_topic_score_gemma":0.00001019174,"domain_scores_codex":[0.9988025,0.000008220823,0.0002344578,0.0005848262,0.0002029848,0.0001670447],"domain_scores_gemma":[0.999167,0.0001747533,0.0001353987,0.000264736,0.0001835319,0.00007463225],"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":[0.00001595342,0.00002786988,0.0001023062,0.00002378267,0.000007630147,0.00001002651,0.0007155747,0.0009506568,0.002062454,0.006898381,0.00001802049,0.9891673],"study_design_scores_gemma":[0.00210909,0.002207205,0.001405856,0.005677686,0.000224271,0.005800075,0.00001064935,0.5044631,0.07789613,0.3836535,0.01400581,0.002546633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000356117,0.0001517595,0.9930447,0.0002434457,0.0001740894,0.0005043828,0.000006196238,0.0000824307,0.005436856],"genre_scores_gemma":[0.2507277,0.0009013714,0.7452719,0.001364414,0.0005660641,0.00003832065,0.00003688751,0.00005206847,0.001041288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9866207,"threshold_uncertainty_score":0.7850292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541042484908915,"score_gpt":0.3104891244163362,"score_spread":0.295078699567247,"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."}}