{"id":"https://openalex.org/W1540569788","doi":"https://doi.org/10.1109/isbi.2015.7163891","title":"Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images","display_name":"Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1540569788","doi":"https://doi.org/10.1109/isbi.2015.7163891","mag":"1540569788"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","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/A5011438418","display_name":"Long Xie","orcid":"https://orcid.org/0000-0002-7184-7028"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Long Xie","raw_affiliation_strings":["Department of Radiology, University of Pennsylvania, Philadelphia, USA","Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044999158","display_name":"Suman Sedai","orcid":"https://orcid.org/0000-0002-9615-3604"},"institutions":[{"id":"https://openalex.org/I4210120068","display_name":"IBM Research - Australia","ror":"https://ror.org/027r3nx49","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210120068"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Suman Sedai","raw_affiliation_strings":["IBM Australia Research Center, Melbourne, Australia","[IBM Australia Research Center, Melbourne, Australia]"],"affiliations":[{"raw_affiliation_string":"IBM Australia Research Center, Melbourne, Australia","institution_ids":["https://openalex.org/I4210120068"]},{"raw_affiliation_string":"[IBM Australia Research Center, Melbourne, Australia]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042597521","display_name":"Xi Liang","orcid":"https://orcid.org/0000-0002-7580-5933"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210120068","display_name":"IBM Research - Australia","ror":"https://ror.org/027r3nx49","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210120068"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Xi Liang","raw_affiliation_strings":["IBM Australia Research Center, Melbourne, Australia","[IBM Australia Research Center, Melbourne, Australia]"],"affiliations":[{"raw_affiliation_string":"IBM Australia Research Center, Melbourne, Australia","institution_ids":["https://openalex.org/I4210120068"]},{"raw_affiliation_string":"[IBM Australia Research Center, Melbourne, Australia]","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054618681","display_name":"Colin B. Compas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin B. Compas","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396652","display_name":"Hongzhi Wang","orcid":"https://orcid.org/0000-0002-7521-2871"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhi Wang","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059550368","display_name":"Paul A. Yushkevich","orcid":"https://orcid.org/0000-0001-8543-4016"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul A. Yushkevich","raw_affiliation_strings":["Department of Radiology, University of Pennsylvania, Philadelphia, USA","Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011438418"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73032278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9948999881744385,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8959079384803772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.755326509475708},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.6970193386077881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6637313365936279},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6356673836708069},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5668354630470276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5409570336341858},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance","display_name":"Cardiac magnetic resonance","score":0.5067875981330872},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47184255719184875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4571346044540405},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4237535297870636},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4149324297904968},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3919069766998291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12383866310119629},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.05515509843826294}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8959079384803772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755326509475708},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.6970193386077881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6637313365936279},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6356673836708069},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5668354630470276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5409570336341858},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.5067875981330872},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47184255719184875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4571346044540405},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4237535297870636},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4149324297904968},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3919069766998291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12383866310119629},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05515509843826294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7163891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1970928383","https://openalex.org/W2010587020","https://openalex.org/W2093723730","https://openalex.org/W2148157540","https://openalex.org/W2156926884","https://openalex.org/W2249689471","https://openalex.org/W6682815776"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W4205800335","https://openalex.org/W2387793296","https://openalex.org/W1558398159"],"abstract_inverted_index":{"Quantitative":[0],"analysis":[1],"of":[2,11,111],"cardiac":[3],"Magnetic":[4],"Resonance":[5],"(CMR)":[6],"images":[7],"requires":[8],"accurate":[9],"segmentation":[10,16,24,45,57,100],"myocardium.":[12],"Although":[13],"recent":[14],"multi-atlas":[15,44],"approaches":[17],"have":[18],"done":[19],"a":[20,42],"good":[21],"job":[22],"improving":[23],"accuracy,":[25],"they":[26],"also":[27],"increase":[28,56],"the":[29,80,84,95,104],"computational":[30,61],"burden,":[31],"which":[32],"degrades":[33],"their":[34],"clinical":[35],"utility.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"proposed":[41,81,96],"novel":[43],"framework":[46],"using":[47,67],"an":[48],"augmented":[49],"atlas":[50],"technique":[51,97],"that":[52,94],"is":[53,64],"able":[54],"to":[55,72,103],"accuracy":[58,101],"without":[59],"increasing":[60],"complexity.":[62],"This":[63],"achieved":[65],"by":[66],"roughly":[68],"aligned":[69],"neighborhood":[70],"slices":[71],"improve":[73],"patch-based":[74],"label":[75],"fusion":[76],"accuracy.":[77],"We":[78],"evaluated":[79],"approach":[82],"on":[83],"MICCAI":[85],"SATA":[86],"Segmentation":[87],"Challenge":[88],"CAP":[89],"dataset.":[90],"Our":[91],"results":[92],"demonstrate":[93],"can":[98],"achieve":[99],"comparable":[102],"state-of-the-art":[105],"algorithms":[106],"in":[107],"much":[108],"smaller":[109],"amount":[110],"time.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
