{"id":"W2769875103","doi":"10.1109/ultsym.2017.8092156","title":"Ultrafast myocardial elastography using coherent compounding of diverging waves during simulated stress tests: An in vitro study","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Elastography; Cardiac cycle; Imaging phantom; Speckle tracking echocardiography; Speckle pattern; Strain rate; Biomedical engineering; Ultrashort pulse; Diastole; Cardiac imaging; Temporal resolution; Medicine; Materials science; Cardiology; Acoustics; Internal medicine; Physics; Optics; Radiology; Ultrasound; Laser; Heart failure; Blood pressure","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":[0.0009852574,0.0004187689,0.0005213227,0.0002221326,0.0001557998,0.0003230922,0.0003542298,0.0006219083,0.0004025794],"category_scores_gemma":[0.0009913977,0.0002382901,0.0002704147,0.0002376303,0.0004762316,0.0003377098,0.0004242937,0.0004245965,0.00009994937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550508,"about_ca_system_score_gemma":0.0001245638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006375834,"about_ca_topic_score_gemma":0.0006580568,"domain_scores_codex":[0.9995556,0.0001898738,0.0000253949,0.00006877205,0.00008518203,0.00007513848],"domain_scores_gemma":[0.9991004,0.000541234,0.0001180972,0.0001060209,0.00007781757,0.0000563853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004409529,0.0003314926,0.00166821,0.0001211657,0.00002440694,0.0002412124,0.0001956375,0.003788126,0.9868499,0.0001132352,0.00004983262,0.006175931],"study_design_scores_gemma":[0.00007680168,0.009448918,0.02768844,0.00004078852,0.0001214721,0.0006138239,0.0003136748,0.05163798,0.9088423,0.0002153566,0.0009461703,0.00005435175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910967,0.0008233182,0.00772587,0.00002923887,0.00001298824,0.00002270542,0.00003821928,0.00001369525,0.0002372575],"genre_scores_gemma":[0.9938846,0.0006715502,0.004949225,0.00004246984,0.00002041475,0.00004384661,0.00007012377,0.000008677858,0.0003090927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009852574,"threshold_uncertainty_score":0.005210638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810597148640393,"score_gpt":0.3221379525154948,"score_spread":0.2940319810290909,"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."}}