{"id":"W4416961998","doi":"10.1109/ist66504.2025.11268401","title":"3D Conditional Image Synthesis of Left Atrial LGE MRI from Composite Semantic Masks","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Segmentation; Pipeline (software); Pattern recognition (psychology); Endocardium; Image segmentation; Cardiac magnetic resonance; Training set","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":[0.0004526229,0.0005802927,0.0002681546,0.0003275259,0.0001258809,0.0006510061,0.0004584378,0.000519896,0.002029398],"category_scores_gemma":[0.001046061,0.0002892852,0.0006193889,0.0001843609,0.0003646168,0.0003913678,0.0006107591,0.0007027552,0.0006405721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305533,"about_ca_system_score_gemma":0.000504267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116945,"about_ca_topic_score_gemma":0.002291261,"domain_scores_codex":[0.9998803,0.00002446678,0.000005028171,0.00003320657,0.00004455764,0.00001241345],"domain_scores_gemma":[0.9997657,0.0001054942,0.00002469013,0.00004332134,0.00004165211,0.00001920584],"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":[0.0002877614,0.00006503922,0.001687777,0.0002464011,0.00008765866,0.0003763282,0.0001811483,0.7030064,0.1183585,0.01011021,0.005029303,0.1605635],"study_design_scores_gemma":[0.000009184096,0.0000357687,0.0003841867,0.0000103692,0.000009996908,0.0001332027,0.00001305856,0.9743477,0.0208136,0.002378102,0.001851224,0.00001362187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05289032,0.0001821522,0.9413584,0.0002457621,0.00007040006,0.00005367765,0.0004092866,0.001962371,0.002827605],"genre_scores_gemma":[0.5376793,0.0003117131,0.4554152,0.0002830366,0.00004629743,0.0001347602,0.001669613,0.000725977,0.003734033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002029398,"threshold_uncertainty_score":0.006788969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061032366433571,"score_gpt":0.2680281190215629,"score_spread":0.2574177953572271,"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."}}