{"id":"W4411114763","doi":"10.1016/j.cmpb.2025.108869","title":"echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting","year":2025,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Agentúra na Podporu Výskumu a Vývoja","keywords":"Field (mathematics); Computer science; Cardiology; Internal medicine; Medicine; Mathematics","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":[0.00251125,0.0001594477,0.0003871452,0.0003118102,0.00008314226,0.00006391438,0.000425298,0.00007525959,0.000003464962],"category_scores_gemma":[0.00006263817,0.0001087459,0.00010542,0.001848522,0.0002085645,0.0001419787,0.0000682509,0.0002108979,1.308685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000131289,"about_ca_system_score_gemma":0.00003545463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006662603,"about_ca_topic_score_gemma":0.000006535513,"domain_scores_codex":[0.998109,0.0006904353,0.0004440199,0.0003650509,0.0001456822,0.0002457813],"domain_scores_gemma":[0.9981162,0.001398985,0.00009406169,0.0003021206,0.00005697551,0.00003167464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001039778,0.00006370233,0.00505053,0.00008840713,0.00003002068,0.0000076115,0.0003959071,0.0004514436,0.000263959,0.00323182,0.0000779084,0.9903283],"study_design_scores_gemma":[0.00243773,0.0007587071,0.03389755,0.002300531,0.00006849041,0.000008575715,0.0002187964,0.8690742,0.009052803,0.04934313,0.03236278,0.0004766648],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001088951,0.003247319,0.9902662,0.004375536,0.0004501894,0.0003372619,8.216346e-7,0.00002808837,0.0002056568],"genre_scores_gemma":[0.4241412,0.0001576661,0.574298,0.00129935,0.000070283,0.0000242968,0.000003703462,0.000003415536,0.000002117405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9898517,"threshold_uncertainty_score":0.443453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311623160348107,"score_gpt":0.3842782037554532,"score_spread":0.3511619721519721,"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."}}