{"id":"W3014621205","doi":"10.1109/isbi45749.2020.9098668","title":"Blind Deconvolution of Fundamental and Harmonic Ultrasound Images","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deconvolution; Blind deconvolution; Image restoration; Convolution (computer science); Point spread function; Harmonic; Computer science; Artificial intelligence; Inverse problem; Optical transfer function; Computer vision; Linearity; Image (mathematics); Algorithm; Mathematics; Optics; Physics; Image processing; Acoustics; Artificial neural network; Mathematical analysis","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":[0.0007552451,0.0006768735,0.0005816754,0.0006352037,0.0002301955,0.000552506,0.000520926,0.0008894128,0.001185884],"category_scores_gemma":[0.002075592,0.000240467,0.000692439,0.0004124986,0.0006860672,0.0007557797,0.0007557091,0.0006119816,0.0006143709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940648,"about_ca_system_score_gemma":0.001068619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201584,"about_ca_topic_score_gemma":0.0008827312,"domain_scores_codex":[0.9996095,0.00006404349,0.00001928381,0.00008648432,0.0001720653,0.00004853454],"domain_scores_gemma":[0.9995143,0.0001532005,0.00008119416,0.0001068526,0.0001220059,0.00002250781],"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":[0.0006812479,0.0001539568,0.001227409,0.0006098328,0.00009989778,0.0002773031,0.0003612295,0.1564741,0.3487518,0.04177892,0.001961695,0.4476227],"study_design_scores_gemma":[0.00002163589,0.0001149006,0.001174353,0.00002284748,0.00003510459,0.0005835879,0.00005060241,0.8208995,0.15998,0.01159665,0.005477746,0.00004300657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04217689,0.0003124682,0.9550142,0.00009489883,0.00006296662,0.00003313493,0.00005517581,0.0004106777,0.001839518],"genre_scores_gemma":[0.4252819,0.0008483072,0.5658417,0.00007967919,0.00009114066,0.00008054235,0.0002508043,0.0001365272,0.007389402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001201584,"threshold_uncertainty_score":0.003994167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183335126304469,"score_gpt":0.234120357765012,"score_spread":0.2157868451345651,"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."}}