{"id":"https://openalex.org/W2110448928","doi":"https://doi.org/10.1109/isbi.2004.1398780","title":"Statistical surface-based morphometry using a non-parametric approach","display_name":"Statistical surface-based morphometry using a non-parametric approach","publication_year":2005,"publication_date":"2005-04-12","ids":{"openalex":"https://openalex.org/W2110448928","doi":"https://doi.org/10.1109/isbi.2004.1398780","mag":"2110448928"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2004.1398780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2004.1398780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030177736","display_name":"Dimitrios Pantazis","orcid":"https://orcid.org/0000-0001-8246-8878"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Pantazis","raw_affiliation_strings":["Signal & Image Processing Inst., University of Southern California, Los Angeles, CA, USA","[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Inst., University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054387045","display_name":"Richard M. Leahy","orcid":"https://orcid.org/0000-0002-7278-5471"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Leahy","raw_affiliation_strings":["Signal & Image Processing Inst., University of Southern California, Los Angeles, CA, USA","[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal & Image Processing Inst., University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056453682","display_name":"Thomas E. Nichols","orcid":"https://orcid.org/0000-0002-4516-5103"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.E. Nichols","raw_affiliation_strings":["Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA","Department of Biostatistics, University of Michigan, Ann Arbor MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065838160","display_name":"Martin Styner","orcid":"https://orcid.org/0000-0002-8747-5118"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"M. Styner","raw_affiliation_strings":["M.E.M\u00fcller Research Center STB, University of Bern, Bern, Switzerland","[M.E.M\u00fcller Research Center STB, University of Bern, Bern, Switzerland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M.E.M\u00fcller Research Center STB, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]},{"raw_affiliation_string":"[M.E.M\u00fcller Research Center STB, University of Bern, Bern, Switzerland]","institution_ids":["https://openalex.org/I118564535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1283","last_page":"1286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6352505087852478},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5939138531684875},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5651128888130188},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5304901599884033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5046664476394653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4439231753349304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44385749101638794},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4284437894821167},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.42825233936309814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42042276263237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40612709522247314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2403075397014618},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13548776507377625},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1323198676109314}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6352505087852478},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5939138531684875},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5651128888130188},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5304901599884033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5046664476394653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4439231753349304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44385749101638794},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4284437894821167},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.42825233936309814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42042276263237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40612709522247314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2403075397014618},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13548776507377625},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1323198676109314},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2004.1398780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2004.1398780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.5.7212","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.7212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cranium.unibe.ch/users/mstyner/docs/ISBI2004Morphometry.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1850136704","https://openalex.org/W1987599891","https://openalex.org/W2064237880","https://openalex.org/W2072008263","https://openalex.org/W2079498324","https://openalex.org/W2138790588","https://openalex.org/W2140142910","https://openalex.org/W2157908245","https://openalex.org/W2612575796","https://openalex.org/W6737288968","https://openalex.org/W7062035419"],"related_works":["https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W1485223389","https://openalex.org/W2013882407","https://openalex.org/W1981436518","https://openalex.org/W2897428363","https://openalex.org/W2401523190","https://openalex.org/W2794649148","https://openalex.org/W2040597492","https://openalex.org/W1489532500"],"abstract_inverted_index":{"We":[0,76,121,131],"present":[1],"a":[2,40,56,136],"novel":[3],"method":[4],"of":[5,13,23,63,68,72,105,108,118,140,144],"statistical":[6],"surface-based":[7],"morphometry":[8],"based":[9,100],"on":[10,101],"the":[11,48,79,90,102,106,109,119,141],"use":[12],"nonparametric":[14],"permutation":[15],"tests.":[16],"In":[17],"order":[18],"to":[19,39,85],"evaluate":[20],"morphological":[21],"differences":[22,49],"brain":[24],"structures,":[25],"we":[26],"compare":[27],"anatomical":[28],"structures":[29],"acquired":[30],"at":[31],"different":[32,36],"times":[33],"and/or":[34],"from":[35],"subjects.":[37,149],"Registration":[38],"common":[41],"coordinate":[42],"system":[43],"establishes":[44],"corresponding":[45],"locations":[46,52],"and":[47,147],"between":[50],"such":[51],"are":[53,99],"modeled":[54],"as":[55],"displacement":[57],"vector":[58,110],"field":[59],"(DVF).":[60],"The":[61],"analysis":[62],"DVFs":[64],"involves":[65],"testing":[66],"thousands":[67],"hypothesis":[69],"for":[70,115,126],"signs":[71],"statistically":[73],"significant":[74],"effects.":[75],"randomly":[77],"permute":[78],"surface":[80],"data":[81],"among":[82],"two":[83,123],"groups":[84],"determine":[86],"thresholds":[87,98],"that":[88],"control":[89],"family":[91],"wise":[92],"(type":[93],"1)":[94],"error":[95],"rate.":[96],"These":[97],"maximum":[103],"distribution":[104],"amplitude":[107],"fields,":[111],"which":[112],"implicitly":[113],"accounts":[114],"spatial":[116,129],"correlation":[117],"fields.":[120],"propose":[122],"normalization":[124],"schemes":[125],"achieving":[127],"uniform":[128],"sensitivity.":[130],"demonstrate":[132],"their":[133],"application":[134],"in":[135],"shape":[137],"similarity":[138],"study":[139],"lateral":[142],"ventricles":[143],"monozygotic":[145],"twins":[146],"nonrelated":[148]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
