{"id":"W4407987573","doi":"10.1002/mrm.30424","title":"Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI : Part 3—Ex vivo imaging: Data processing, comparisons with microscopy, and tractography","year":2025,"lang":"en","type":"review","venue":"Magnetic Resonance in Medicine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Hotchkiss Brain Institute; Mila - Quebec Artificial Intelligence Institute; Alberta Children's Hospital; Université de Sherbrooke; University of Calgary","funders":"H2020 European Research Council; National Cancer Institute; National Institute on Aging; Natural Sciences and Engineering Research Council of Canada; National Institute on Drug Abuse; Institut de Valorisation des Données; National Institute of Biomedical Imaging and Bioengineering; Fonds de Recherche du Québec - Santé; Vlaamse regering; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institutes of Health; Canada First Research Excellence Fund; Universiteit Antwerpen; Canada Foundation for Innovation; Fonds Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; National Science Foundation; National Institute of Neurological Disorders and Stroke; Generalitat de Catalunya; Wellcome Trust","keywords":"Ex vivo; Diffusion MRI; Tractography; Diffusion imaging; Microscopy; Magnetic resonance imaging; In vivo; Nuclear magnetic resonance; Neuroscience; Medicine; Pathology; Biology; Physics; Radiology","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":[0.112155,0.002200509,0.002489853,0.006590184,0.002684765,0.00876715,0.01492705,0.01976039,0.02224771],"category_scores_gemma":[0.248316,0.002034676,0.004093439,0.005892666,0.005731436,0.009423208,0.00698101,0.01791822,0.0483181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003634127,"about_ca_system_score_gemma":0.04450788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863101,"about_ca_topic_score_gemma":0.02242727,"domain_scores_codex":[0.9314496,0.02794488,0.01152813,0.002507015,0.02445895,0.002111424],"domain_scores_gemma":[0.5884556,0.1261685,0.02137062,0.02691814,0.2129749,0.02411234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001412613,0.0001786407,0.0003938097,0.001563492,0.00004253964,0.0002138551,0.0003391668,0.0005566306,0.001093742,0.004220075,0.9046842,0.08657254],"study_design_scores_gemma":[0.0001630371,0.00012619,0.0008777024,0.007257731,0.000115774,0.0003787063,0.0004515828,0.0005586272,0.001261439,0.0127952,0.9758763,0.0001377293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.00167162,0.03709313,0.09259299,0.7596152,0.03386504,0.005022787,0.008898884,0.008181447,0.0530588],"genre_scores_gemma":[0.006006462,0.06794826,0.4740828,0.3426948,0.01271896,0.01300729,0.01537203,0.005539941,0.06262951],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.112155,"threshold_uncertainty_score":0.5931393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229089904464,"score_gpt":0.4309845932417162,"score_spread":0.3080756027953162,"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."}}