{"id":"W4388450246","doi":"10.1109/ius51837.2023.10307668","title":"Neural Implicit Representation for Three-dimensional Ultrasound Carotid Surface Reconstruction using Unsigned Distance Function","year":2023,"lang":"en","type":"article","venue":"","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Hausdorff distance; Artificial intelligence; Computer vision; Signed distance function; Noise (video); Voxel; Computer science; Iterative reconstruction; Marching cubes; Artificial neural network; Boundary (topology); Surface (topology); Ultrasound; Visualization; Pattern recognition (psychology); Mathematics; Image (mathematics); Geometry; Acoustics; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000537729,0.0006248989,0.0005268468,0.0005110737,0.0002067179,0.0005834845,0.001007845,0.0009673794,0.001305914],"category_scores_gemma":[0.001771489,0.0002852156,0.0005354329,0.0004238934,0.0003382568,0.0008851223,0.0008260324,0.0008086902,0.0003586156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743668,"about_ca_system_score_gemma":0.0007648041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006209932,"about_ca_topic_score_gemma":0.005104812,"domain_scores_codex":[0.9997857,0.00004032905,0.00001319195,0.00004984168,0.00008536137,0.00002557578],"domain_scores_gemma":[0.9996654,0.000115168,0.00003427669,0.00004365673,0.0001251679,0.00001630972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001412523,0.00008352584,0.001769689,0.00009404883,0.00005115858,0.00009935166,0.0001049408,0.6503084,0.01296212,0.004849021,0.001710616,0.3278258],"study_design_scores_gemma":[0.000002544084,0.0000158054,0.0001175808,0.000002722226,0.000003115228,0.0000162578,0.000004254358,0.9980761,0.001070147,0.0005227818,0.0001656514,0.000003143448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04677087,0.0002600501,0.9510981,0.0001512562,0.00003809749,0.00002777446,0.00007310683,0.0006499345,0.0009308377],"genre_scores_gemma":[0.716653,0.0004675178,0.2774091,0.0001992627,0.0000369773,0.0001735371,0.0006366434,0.0001325156,0.004291415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006209932,"threshold_uncertainty_score":0.01234758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137001295845419,"score_gpt":0.2894465688455137,"score_spread":0.2580765558870595,"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."}}