{"id":"W2548306483","doi":"10.1109/ultsym.2016.7728461","title":"A modified affine phase-based estimator for non-invasive vascular ultrasound elastography using coherent plane wave compounding and transverse oscillation imaging","year":2016,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Imaging phantom; Elastography; Estimator; Signal-to-noise ratio (imaging); Affine transformation; Plane wave; Biomedical engineering; Oscillation (cell signaling); Ultrasound; Phase (matter); Transverse plane; Acoustics; Computer science; Physics; Mathematics; Optics; Radiology; Engineering; Medicine; Statistics; Chemistry; Geometry","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":[0.00182259,0.0008309987,0.0007001491,0.0008085684,0.0002111917,0.0006547513,0.000811538,0.001181459,0.0007500523],"category_scores_gemma":[0.006535468,0.0004409124,0.0006468066,0.0008379638,0.0004997636,0.001585544,0.0008359673,0.0007890562,0.0004327513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939929,"about_ca_system_score_gemma":0.0005604017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006964188,"about_ca_topic_score_gemma":0.001022456,"domain_scores_codex":[0.9990841,0.0002916705,0.00006838366,0.0001785972,0.0003393973,0.00003775723],"domain_scores_gemma":[0.9979911,0.001049145,0.0002127024,0.0001933842,0.0005072471,0.00004644879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002740938,0.0001427269,0.004171441,0.000488135,0.0002964545,0.0002338664,0.0001233756,0.1515145,0.206189,0.02013135,0.001195655,0.6152393],"study_design_scores_gemma":[0.0000269832,0.0002072287,0.001865615,0.00002441899,0.00007858721,0.0004428593,0.0000176205,0.9520016,0.03773247,0.002997493,0.004542856,0.00006228653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002434974,0.0001860256,0.9971728,0.00002554638,0.00001692705,0.00001321168,0.000007624846,0.00004906133,0.00009376239],"genre_scores_gemma":[0.1192235,0.0007874535,0.8783126,0.0001262304,0.0001176772,0.00009953305,0.0001349312,0.00007268311,0.001125402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00182259,"threshold_uncertainty_score":0.009638906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314259903490749,"score_gpt":0.2741679167977074,"score_spread":0.2510253177627999,"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."}}