{"id":"W3217577057","doi":"10.1145/3487027.3487036","title":"4D Surface Mesh Reconstruction from Segmented Cardiac Images using Subdivision Surfaces","year":2021,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Polygon mesh; Subdivision surface; Computer science; Surface reconstruction; Mesh generation; Subdivision; Artificial intelligence; Computer vision; Segmentation; Vertex (graph theory); Algorithm; 3D reconstruction; Iterative reconstruction; T-vertices; Surface (topology); Finite element method; Computer graphics (images); Mathematics; Theoretical computer science; Geometry; Graph","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":[0.0006977434,0.0007676621,0.0006987552,0.00155487,0.0002265672,0.001077551,0.000740998,0.00138792,0.001362556],"category_scores_gemma":[0.002330719,0.0006781904,0.001244395,0.0007949811,0.0005395676,0.0006665022,0.0008577143,0.0008630254,0.0006038182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543605,"about_ca_system_score_gemma":0.0006596624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121205,"about_ca_topic_score_gemma":0.001868623,"domain_scores_codex":[0.9996105,0.00006532108,0.00002654945,0.0000611426,0.0002027063,0.00003384547],"domain_scores_gemma":[0.9992561,0.0002981063,0.00007814175,0.0001762859,0.000160964,0.00003046059],"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":[0.0003207949,0.00009823032,0.002999278,0.0002119831,0.00009479613,0.0004787074,0.0005835007,0.6908132,0.101755,0.007139467,0.001696259,0.1938088],"study_design_scores_gemma":[0.000008568152,0.0000231283,0.0003728232,0.000008174017,0.000005746162,0.0001005199,0.00002739122,0.9893607,0.00715511,0.002137628,0.0007856765,0.00001462748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0566382,0.0001171971,0.9410757,0.00007489182,0.00002723808,0.00005514615,0.0001278339,0.001188923,0.0006948264],"genre_scores_gemma":[0.3643402,0.0002722802,0.6324235,0.00005871617,0.0000243192,0.0001022798,0.000889734,0.0005984244,0.001290539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002121205,"threshold_uncertainty_score":0.004558206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331492472003645,"score_gpt":0.2168963183788176,"score_spread":0.2035813936587812,"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."}}