{"id":"W4310700692","doi":"10.1002/hbm.26165","title":"Fast three‐dimensional image generation for healthy brain aging using diffeomorphic registration","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Center for Innovative Medicine; Eisai Incorporated; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Servier; VINNOVA; Takeda Pharmaceuticals U.S.A.; Barncancerfonden; U.S. Department of Defense; Eli Lilly and Company; China Scholarship Council; Eisai; Fundación CajaCanarias; Alzheimer's Association; Stiftelsen för Gamla Tjänarinnor; Fujirebio US; Pfizer; BioClinica; Biogen; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; AbbVie; Hjärnfonden; F. Hoffmann-La Roche; Merck; Alzheimerfonden; Alzheimer's Drug Discovery Foundation; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Demensfonden; Meso Scale Diagnostics","keywords":"Neuroimaging; Artificial intelligence; Image registration; Magnetic resonance imaging; Pattern recognition (psychology); Computer science; Computer vision; Psychology; Image (mathematics); Neuroscience; Medicine; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510014,0.0006522652,0.0004190688,0.001006576,0.0002372979,0.0005786375,0.0008426544,0.0007062434,0.001837041],"category_scores_gemma":[0.00397653,0.000382847,0.001008826,0.000496362,0.0003836029,0.0004899402,0.0008235564,0.0006610725,0.0005489746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104036,"about_ca_system_score_gemma":0.0005460565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924838,"about_ca_topic_score_gemma":0.001651426,"domain_scores_codex":[0.9996474,0.0001042232,0.00002408633,0.00008492386,0.0001133634,0.00002603347],"domain_scores_gemma":[0.9989557,0.0004518863,0.0001053627,0.0002530168,0.0001962482,0.00003775086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005751089,0.0001849204,0.004138398,0.0002752103,0.0002680682,0.0004440395,0.0002721273,0.6279798,0.05479359,0.009400231,0.004396381,0.2972722],"study_design_scores_gemma":[0.00002283914,0.00007854104,0.0007719447,0.0000075498,0.0000155894,0.000165073,0.0000158216,0.9831358,0.01223207,0.002255017,0.001282078,0.00001765343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05144021,0.0001388329,0.9454566,0.0001149076,0.00006278666,0.0001233213,0.0001788308,0.001832396,0.0006520582],"genre_scores_gemma":[0.4455454,0.0001429751,0.5519068,0.00008064762,0.00002558301,0.0001756266,0.0006902743,0.0004676284,0.0009650245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001924838,"threshold_uncertainty_score":0.007985771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035637264692,"score_gpt":0.3938933283948056,"score_spread":0.1903296019256056,"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."}}