{"doi":"10.1007/978-3-540-85988-8_61","title":"Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI","abstract":null,"journal":"Lecture Notes in Computer Science","year":2008,"id":681715,"datarank":0.38474240361923057,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.0,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1781099,"name":"Brian B. Avants","orcid":null,"position":1,"is_corresponding":false},{"id":346400,"name":"John Pluta","orcid":null,"position":2,"is_corresponding":false},{"id":1781100,"name":"David Minkoff","orcid":null,"position":3,"is_corresponding":false},{"id":301392,"name":"John A. Detre","orcid":"0000-0002-8115-6343","position":4,"is_corresponding":false},{"id":58510,"name":"Murray Grossman","orcid":"0000-0002-7447-6218","position":5,"is_corresponding":false},{"id":259733,"name":"James C. Gee","orcid":"0000-0002-2258-0187","position":6,"is_corresponding":false},{"id":66383,"name":"Paul A. Yushkevich","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI","abstract":"This paper estimates the accuracy of hippocampal subfield alignment via shape-based normalization. Evaluation takes place in postmortem MRI dataset acquired at 9.4 Tesla with many averages and approximately 0.01 mm3 voxel resolution. Continuous medial representations (cm-reps) are used to establish geometrical correspondences between hippocampal formations in different images; the extent to which these correspondences match up subfields is evaluated and compared to normalization driven by image forces. Shape-based normalization is shown to perform only slightly worse than image-based normalization; this is encouraging because the former is more applicable to in vivo MRI, which typically lacks features that distinguish hippocampal subfields.","is_dataset_classified":null,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18979785","pmcid":"PMC2680118","openalex_id":"https://openalex.org/W2154029200","authors":[],"funders":[{"funder_name":"NINDS NIH HHS","grant_id":"P30 NS045839","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"R01 MH068066","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"NS045839","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"MH068066","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R21 NS061111","title":null},{"funder_name":"NIA NIH HHS","grant_id":"K25 AG027785","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"NS061111","title":null},{"funder_name":"NIA NIH HHS","grant_id":"AG027785","title":null}],"total_grants":8,"fwci":1.3058,"citation_percentile":0.8189565,"influential_citations":0,"citation_trend":[{"year":2012,"count":2},{"year":2016,"count":4},{"year":2020,"count":1}],"oa_status":"bronze","license":"https://www.springernature.com/gp/researchers/text-and-data-mining","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-85988-8_61.pdf","host_type":"book series"},{"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-85988-8_61.pdf","host_type":"publisher"},{"url":"https://link.springer.com/content/pdf/10.1007/978-3-540-85988-8_61","host_type":"publisher"},{"url":"https://doi.org/10.1007/978-3-540-85988-8_61","host_type":"book series"},{"url":"https://pubmed.ncbi.nlm.nih.gov/18979785","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2680118","host_type":"repository"}],"fields_of_study":["Medical Image Segmentation Techniques","Medical Imaging Techniques and Applications","Advanced Neuroimaging Techniques and Applications"],"mesh_terms":["Algorithms","Artificial Intelligence","Cadaver","Computer Simulation","Hippocampus","Humans","Image Enhancement","Image Interpretation, Computer-Assisted","Magnetic Resonance Imaging","Models, Biological","Pattern Recognition, Automated","Sensitivity and Specificity","Subtraction Technique","Reproducibility of Results","Models, Statistical","Information Storage and Retrieval"],"keywords":["Normalization (sociology)","Hippocampal formation","Voxel","Computer science","Artificial intelligence","Spatial normalization","Pattern recognition (psychology)","Computer vision","Neuroscience","Biology"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-17T18:29:52.151088Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}