{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007943257,0.0005732761,0.0003855459,0.0005226075,0.0001927721,0.0007052795,0.0008103796,0.0008462137,0.003052175],"category_scores_gemma":[0.003590241,0.000358307,0.0007418211,0.0003252938,0.000463372,0.0006535735,0.0008065435,0.0009891579,0.0007430303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007998176,"about_ca_system_score_gemma":0.0003885151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325808,"about_ca_topic_score_gemma":0.002991549,"domain_scores_codex":[0.999688,0.00008219797,0.00001540152,0.00009137677,0.00009262201,0.00003045409],"domain_scores_gemma":[0.9989809,0.0006450732,0.00007651121,0.0001249156,0.0001322439,0.00004041308],"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":[0.0001367267,0.00005444856,0.0008169049,0.00009086734,0.00003487324,0.0001133496,0.00007667963,0.9103797,0.01447909,0.008819259,0.00300368,0.06199453],"study_design_scores_gemma":[0.000008461336,0.0000135121,0.00006338454,0.000003880285,0.000003222999,0.0000227616,0.000003319187,0.994314,0.003000903,0.001900351,0.0006621805,0.000004217606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03794549,0.0004077187,0.9546523,0.0004440457,0.0001076455,0.0001251619,0.0004341695,0.002688778,0.003194667],"genre_scores_gemma":[0.7041334,0.0004564831,0.2858068,0.0004278324,0.00007047546,0.0002551928,0.001560021,0.0006948161,0.006594898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00325808,"threshold_uncertainty_score":0.01021051,"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."}}