{"id":"https://openalex.org/W2055493157","doi":"https://doi.org/10.1109/isbi.2012.6235691","title":"A generative model for multi-atlas segmentation across modalities","display_name":"A generative model for multi-atlas segmentation across modalities","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2055493157","doi":"https://doi.org/10.1109/isbi.2012.6235691","mag":"2055493157","pmid":"https://pubmed.ncbi.nlm.nih.gov/23568278"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3616321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054888342","display_name":"Juan Eugenio Iglesias","orcid":"https://orcid.org/0000-0001-7569-173X"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Juan Eugenio Iglesias","raw_affiliation_strings":["Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA"],"affiliations":[{"raw_affiliation_string":"Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025877936","display_name":"Mert R. Sabuncu","orcid":"https://orcid.org/0000-0002-7068-719X"},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mert Rory Sabuncu","raw_affiliation_strings":["Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA"],"affiliations":[{"raw_affiliation_string":"Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047520245","display_name":"Koen Van Leemput","orcid":"https://orcid.org/0000-0001-6466-5309"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK","FI","US"],"is_corresponding":false,"raw_author_name":"Koen Van Leemput","raw_affiliation_strings":["Department of Informatics and Mathematical Modeling, Technical University of Denmark, Denmark","Departments of Information and Computer Science and of Biomedical Engineering and Computational Science, Aalto University, Finland","Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Mathematical Modeling, Technical University of Denmark, Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Departments of Information and Computer Science and of Biomedical Engineering and Computational Science, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, USA","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054888342"],"corresponding_institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210127055"],"apc_list":null,"apc_paid":null,"fwci":3.3325,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93194144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"888","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9781000018119812,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7514009475708008},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6964904069900513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956710815429688},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6612660884857178},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6556243896484375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6053687334060669},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.5633765459060669},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5556219816207886},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4978759288787842},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41842120885849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4008013606071472},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.28755050897598267}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7514009475708008},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6964904069900513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956710815429688},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6612660884857178},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6556243896484375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6053687334060669},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.5633765459060669},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5556219816207886},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4978759288787842},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41842120885849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4008013606071472},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28755050897598267},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi.2012.6235691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:23568278","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23568278","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:2618572","is_oa":false,"landing_page_url":"http://europepmc.org/articles/PMC3616321","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3616321","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3616321","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/80b45b1d-9fea-41e0-8eff-82410f4fe6ad","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/80b45b1d-9fea-41e0-8eff-82410f4fe6ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Iglesias , J E , Sabuncu , M R &amp; Van Leemput , K 2012 , A generative model for multi-atlas segmentation across modalities . in 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) . IEEE , International Symposium on Biomedical Imaging. Proceedings , pp. 888-891 , 2012 IEEE International Symposium on Biomedical Imaging , Barcelona , Spain , 02/05/2012 . https://doi.org/10.1109/ISBI.2012.6235691","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:3616321","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3616321","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1656156931","https://openalex.org/W2018662705","https://openalex.org/W2041276929","https://openalex.org/W2102595307","https://openalex.org/W2111677918","https://openalex.org/W2133666212","https://openalex.org/W2136148445","https://openalex.org/W2148347694","https://openalex.org/W2162140684","https://openalex.org/W4230920194","https://openalex.org/W6679951548"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Current":[0],"label":[1],"fusion":[2],"methods":[3,27],"enhance":[4],"multi-atlas":[5,64],"segmentation":[6,110],"by":[7,156],"locally":[8],"weighting":[9,144],"the":[10,13,20,34,37,72,75,81,89,96,107,153],"contribution":[11],"of":[12,74,83],"atlases":[14,35,128],"according":[15],"to":[16,19,52,95,131],"their":[17,42,93],"similarity":[18],"target":[21,38,90],"volume":[22,91],"after":[23],"registration.":[24],"However,":[25],"these":[26],"cannot":[28,146],"handle":[29],"voxel":[30,84],"intensity":[31,73],"inconsistencies":[32],"between":[33],"and":[36,92,159],"image,":[39],"which":[40,67,142],"limits":[41],"application":[43],"across":[44,48],"modalities":[45],"or":[46],"even":[47],"MRI":[49,127,137],"datasets":[50],"due":[51],"differences":[53],"in":[54,88,102,122,141],"image":[55,65],"contrast.":[56],"Here":[57],"we":[58,79],"present":[59],"a":[60,103,139],"generative":[61],"model":[62],"for":[63],"segmentation,":[66],"does":[68],"not":[69],"rely":[70],"on":[71],"training":[76],"images.":[77],"Instead,":[78],"exploit":[80],"consistency":[82],"intensities":[85],"within":[86],"regions":[87],"relation":[94],"propagated":[97],"labels.":[98],"This":[99],"is":[100,111,120],"formulated":[101],"probabilistic":[104],"framework,":[105],"where":[106,125],"most":[108],"likely":[109],"obtained":[112],"with":[113],"variational":[114],"expectation":[115],"maximization":[116],"(EM).":[117],"The":[118],"approach":[119],"demonstrated":[121],"an":[123],"experiment":[124],"<i>T</i><sub>1</sub>-weighted":[126],"are":[129],"used":[130],"segment":[132],"proton-density":[133],"(PD)":[134],"weighted":[135],"brain":[136],"scans,":[138],"scenario":[140],"traditional":[143],"schemes":[145],"be":[147],"used.":[148],"Our":[149],"method":[150],"significantly":[151],"improves":[152],"results":[154],"provided":[155],"majority":[157],"voting":[158],"STAPLE.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}