{"id":"W4407568385","doi":"10.1117/12.3047788","title":"Ultrasound image generation using latent diffusion models","year":2025,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Image (mathematics); Computer vision; Diffusion; Physics","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":[0.0001397673,0.000103616,0.0001042399,0.00007469245,0.0002106101,0.000277153,0.0002739386,0.00004068672,0.0000294512],"category_scores_gemma":[0.00001899228,0.00008480805,0.00005397265,0.0002742743,0.00002202852,0.0007709947,0.0001455754,0.0000510779,0.000009677274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004417268,"about_ca_system_score_gemma":0.0000437036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066506,"about_ca_topic_score_gemma":0.0000174051,"domain_scores_codex":[0.9991954,0.00006405918,0.0001572389,0.0002912769,0.0001206458,0.0001713733],"domain_scores_gemma":[0.9994837,0.00004288979,0.00003375506,0.0003121324,0.0000908861,0.00003661734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002288438,0.00006181071,0.00008584417,0.000004265288,0.00002283432,0.000002978913,0.0001334548,0.1323642,0.7858655,0.06530275,0.005186743,0.01096735],"study_design_scores_gemma":[0.0001148699,0.000006861411,0.0001386914,0.000007354217,0.000006541115,0.000002125726,0.000006374604,0.9482912,0.04615338,0.005016818,0.0001633934,0.00009236095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0182915,0.00007611821,0.9740688,0.0004039951,0.0004669682,0.0001047338,5.864536e-7,0.00007357609,0.00651369],"genre_scores_gemma":[0.7201129,0.00002758537,0.2782214,0.0004555309,0.00009232148,0.000003075698,0.000002191772,0.000003434419,0.001081562],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8159271,"threshold_uncertainty_score":0.3458372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178186559234559,"score_gpt":0.2547585220799923,"score_spread":0.2229766564876468,"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."}}