{"id":"W4415720123","doi":"10.18280/ts.420541","title":"Advanced Image Domain Adaptation and Multi-Angle Reconstruction in Medical Imaging Using Deep Neural Models","year":2025,"lang":"","type":"article","venue":"Traitement du signal","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medical imaging; Domain adaptation; Domain (mathematical analysis); Adaptation (eye); Image (mathematics); Artificial neural network; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009652187,0.0003742743,0.0004233985,0.0003671397,0.0003785993,0.0003886272,0.000377169,0.000116639,0.000134125],"category_scores_gemma":[0.0000560292,0.0003990195,0.0001105487,0.0006638622,0.0002971644,0.002312385,0.000261465,0.0003307912,0.000001772249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136882,"about_ca_system_score_gemma":0.0002089173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926546,"about_ca_topic_score_gemma":0.0002436588,"domain_scores_codex":[0.9966454,0.0005311653,0.000859634,0.0008792667,0.0004983816,0.0005861777],"domain_scores_gemma":[0.9990181,0.0001613363,0.0002289988,0.000237299,0.0001680065,0.0001862301],"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":[0.00007864691,0.0001507059,0.0005638812,0.00003775004,0.00003745574,0.00005163083,0.001809722,0.2490603,0.008789928,0.0008090534,0.000006367365,0.7386046],"study_design_scores_gemma":[0.002889026,0.00004549342,0.002042627,0.0003259394,0.00004089948,0.00003885829,0.001236072,0.9899703,0.0006611457,0.002394792,0.00001582958,0.0003389798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08612022,0.001430679,0.9096548,0.001220144,0.0008486884,0.0005174304,0.000005199298,0.00003605652,0.0001668146],"genre_scores_gemma":[0.7746087,0.0000969423,0.2247759,0.0003419164,0.0001283459,0.00001997145,0.000003769374,0.00001311921,0.00001136953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7409101,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394338363799537,"score_gpt":0.2608927683431346,"score_spread":0.2369493847051393,"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."}}