{"id":"W2297514228","doi":"10.1016/j.compmedimag.2016.03.001","title":"Statistical shape analysis of subcortical structures using spectral matching","year":2016,"lang":"en","type":"article","venue":"Computerized Medical Imaging and Graphics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Janssen Research and Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; Eisai; Servier; U.S. Department of Defense; Eli Lilly and Company; Stanley Foundation; Lundbeckfonden; Canada Research Chairs; Centre de recherche du CHU Sainte-Justine; Pfizer; BioClinica; Biogen; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; F. Hoffmann-La Roche; Roche; Merck; Alzheimer's Drug Discovery Foundation; Takeda Pharmaceutical Company; AbbVie; Fujirebio Europe; Alzheimer's Association; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Johnson and Johnson; Meso Scale Diagnostics","keywords":"Pattern recognition (psychology); Shape analysis (program analysis); Artificial intelligence; Computer science; Polygon mesh; Curvature; Matching (statistics); Perimeter; Population; Mathematics; Geometry; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001081862,0.0003596221,0.0005399225,0.003175305,0.0004871954,0.001095968,0.0006735756,0.0005759125,0.001647409],"category_scores_gemma":[0.003259864,0.0003686829,0.0009720048,0.001988843,0.000497913,0.001050156,0.0008477924,0.0005153565,0.0007052201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004349969,"about_ca_system_score_gemma":0.0009496644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121498,"about_ca_topic_score_gemma":0.002563636,"domain_scores_codex":[0.9996048,0.00009647203,0.00002818019,0.00006939236,0.0001619383,0.00003930035],"domain_scores_gemma":[0.9986197,0.000455235,0.0001464055,0.0002378626,0.0004819437,0.00005891411],"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":[0.0004863778,0.0001869319,0.007796608,0.0001770497,0.0001698206,0.0001442721,0.0002748506,0.10431,0.1208711,0.01748015,0.002001768,0.746101],"study_design_scores_gemma":[0.00001565127,0.00007073279,0.008220781,0.00001433259,0.00005467136,0.0003170934,0.0001036032,0.949311,0.0274402,0.01276573,0.001652332,0.00003388399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.066433,0.0001677119,0.9314946,0.00009751425,0.00001638475,0.00004042981,0.00009727963,0.0006625802,0.00099059],"genre_scores_gemma":[0.5801331,0.0003041022,0.4167922,0.00006608932,0.00003746356,0.00007875577,0.0004035764,0.0005469344,0.001637752],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003175305,"threshold_uncertainty_score":0.005721509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671539911928454,"score_gpt":0.3118269522216882,"score_spread":0.2951115531024037,"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."}}