{"id":"W4385351255","doi":"10.1016/j.nicl.2023.103483","title":"Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies","year":2023,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Science and Technology Department of Zhejiang Province; National Institute of Mental Health; Agencia Estatal de Investigación; Engineering and Physical Sciences Research Council; National Institute on Aging; Narodowa Agencja Wymiany Akademickiej; National Institute of Neurological Disorders and Stroke; National Institute for Health and Care Research; Ministerio de Ciencia e Innovación; National Institute of Biomedical Imaging and Bioengineering; Ministerio de Ciencia, Innovación y Universidades; Ministry of Science and Technology of the People's Republic of China; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; National Institutes of Health; Canada Research Chairs; University College London Hospitals NHS Foundation Trust; European Commission; National Institute of Dental and Craniofacial Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Deutsche Forschungsgemeinschaft","keywords":"False positive paradox; Chronic Migraine; Diffusion MRI; Artificial intelligence; Generalization; Migraine; White matter; Deep learning; Medicine; Psychology; Pattern recognition (psychology); Computer science; Statistics; Magnetic resonance imaging; Mathematics; Radiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002745769,0.0001340749,0.0005831366,0.0001434336,0.00008565358,0.000008208259,0.0001064044,0.0001231566,0.000002922198],"category_scores_gemma":[0.007256121,0.0001253796,0.0003015731,0.0003218301,0.0001977587,0.00008864294,0.00009547489,0.0003446171,0.000003501976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614528,"about_ca_system_score_gemma":0.00002922379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002242369,"about_ca_topic_score_gemma":0.000001643406,"domain_scores_codex":[0.997346,0.0002453764,0.001489677,0.0005433635,0.0001695353,0.0002060411],"domain_scores_gemma":[0.994679,0.004195779,0.0004291579,0.0003462863,0.0002839127,0.0000658556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002185973,0.001740508,0.6122999,0.0009855856,0.00007107182,0.00001369238,0.0002733665,0.00004462382,0.05075854,0.001770164,0.006066104,0.3237905],"study_design_scores_gemma":[0.008407136,0.005260599,0.8623725,0.0003985452,0.0003052242,0.00001022898,0.0006178525,0.01466899,0.05376024,0.01844419,0.03524518,0.000509332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475443,0.00005364366,0.1446901,0.003988392,0.0002040427,0.002816066,0.00002290708,0.0006108496,0.00006970501],"genre_scores_gemma":[0.8411814,0.005099797,0.1501916,0.0009966075,0.0004603178,0.001262925,0.0003270272,0.00008654726,0.0003938008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232811,"threshold_uncertainty_score":0.8686779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4592775247031869,"score_gpt":0.6082723008100177,"score_spread":0.1489947761068308,"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."}}