{"id":"W4310584541","doi":"10.1109/ius54386.2022.9958260","title":"Detection of Hematoma Boundaries in Transcranial Ultrasound Brain Imaging via Envelope Reconstruction on Resonance-based Signal Decomposition","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Windsor Clinical Research","funders":"","keywords":"Transcranial Doppler; Computer science; Neuroimaging; Ultrasound; Magnetic resonance imaging; SIGNAL (programming language); Medicine; Medical physics; Computer vision; Radiology","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":[0.0003936992,0.0004646542,0.0002988965,0.0009573842,0.0001433343,0.0006190063,0.000329009,0.0005143581,0.0008699239],"category_scores_gemma":[0.001521094,0.0002348665,0.0003604581,0.0005013838,0.0002857224,0.0007510955,0.0006356066,0.0004205049,0.0005543882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304787,"about_ca_system_score_gemma":0.0003064899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004436678,"about_ca_topic_score_gemma":0.0007394112,"domain_scores_codex":[0.9997676,0.00005796593,0.00001601366,0.0000334098,0.00009198815,0.0000330742],"domain_scores_gemma":[0.9996687,0.0001294539,0.00004551909,0.00003965553,0.00009187762,0.00002477056],"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":[0.0007032008,0.00009766092,0.003766191,0.0002482111,0.00004022232,0.0009723653,0.0003113912,0.01353406,0.3890995,0.00312586,0.001197538,0.5869038],"study_design_scores_gemma":[0.0000465938,0.0003414452,0.01605881,0.00007509097,0.00007687302,0.00467246,0.0002572681,0.7186913,0.2502893,0.005248598,0.004160741,0.0000814811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123161,0.0004834788,0.8850594,0.00009823938,0.00003056374,0.00008329012,0.00006608324,0.0005660995,0.001296872],"genre_scores_gemma":[0.4367769,0.0007626996,0.5604753,0.00009029481,0.00002888787,0.00007343135,0.0001833687,0.0001219428,0.001487164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009573842,"threshold_uncertainty_score":0.002910197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00505261448835857,"score_gpt":0.2169558213413442,"score_spread":0.2119032068529856,"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."}}