{"id":"https://openalex.org/W2440746941","doi":"https://doi.org/10.1109/siu.2016.7496227","title":"A sparsity-based atlas selection technique for multiple-atlas segmentation: Application to neonatal brain labeling","display_name":"A sparsity-based atlas selection technique for multiple-atlas segmentation: Application to neonatal brain labeling","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2440746941","doi":"https://doi.org/10.1109/siu.2016.7496227","mag":"2440746941"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7496227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7496227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","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/A5086475627","display_name":"Ahmed Serag","orcid":"https://orcid.org/0000-0002-4145-5509"},"institutions":[{"id":"https://openalex.org/I4210116174","display_name":"MRC Centre for Reproductive Health","ror":"https://ror.org/02f4tsf92","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4210116174","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmed Serag","raw_affiliation_strings":["MRC Centre for Reproductive Health University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Centre for Reproductive Health University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I4210116174","https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055721719","display_name":"James P. Boardman","orcid":"https://orcid.org/0000-0003-3904-8960"},"institutions":[{"id":"https://openalex.org/I4210116174","display_name":"MRC Centre for Reproductive Health","ror":"https://ror.org/02f4tsf92","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4210116174","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James P. Boardman","raw_affiliation_strings":["MRC Centre for Reproductive Health University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Centre for Reproductive Health University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I4210116174","https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113597696","display_name":"Alastair Graham Wilkinson","orcid":null},"institutions":[{"id":"https://openalex.org/I2800398797","display_name":"Royal Hospital for Children","ror":"https://ror.org/01cb0kd74","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800201399","https://openalex.org/I2800398797"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alastair Graham Wilkinson","raw_affiliation_strings":["Department of Radiology, Royal Hospital for Sick Children, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Royal Hospital for Sick Children, Edinburgh, UK","institution_ids":["https://openalex.org/I2800398797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074715611","display_name":"Gillian Macnaught","orcid":"https://orcid.org/0000-0001-5531-9703"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gillian Macnaught","raw_affiliation_strings":["Clinical Research Imaging Centre University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Research Imaging Centre University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108121900","display_name":"Scott I. Semple","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Scott I. Semple","raw_affiliation_strings":["Clinical Research Imaging Centre University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Research Imaging Centre University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1006,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.35398869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2265","last_page":"2268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519535422325134},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7005982398986816},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.6658047437667847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650736927986145},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5666363835334778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5642309784889221},{"id":"https://openalex.org/keywords/brain-atlas","display_name":"Brain atlas","score":0.5443115234375},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4636728763580322},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.32256829738616943},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10091060400009155},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0812864601612091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519535422325134},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7005982398986816},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.6658047437667847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650736927986145},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5666363835334778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5642309784889221},{"id":"https://openalex.org/C2780972224","wikidata":"https://www.wikidata.org/wiki/Q17047956","display_name":"Brain atlas","level":2,"score":0.5443115234375},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4636728763580322},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32256829738616943},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10091060400009155},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0812864601612091},{"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/siu.2016.7496227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7496227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W118135586","https://openalex.org/W1561665109","https://openalex.org/W1667869507","https://openalex.org/W1984327987","https://openalex.org/W1992182372","https://openalex.org/W1992537691","https://openalex.org/W1999240723","https://openalex.org/W2018662705","https://openalex.org/W2032377318","https://openalex.org/W2043391712","https://openalex.org/W2046105679","https://openalex.org/W2048700485","https://openalex.org/W2067987324","https://openalex.org/W2073272031","https://openalex.org/W2107956652","https://openalex.org/W2112226928","https://openalex.org/W2113576511","https://openalex.org/W2116895317","https://openalex.org/W2117340355","https://openalex.org/W2121236251","https://openalex.org/W2138716135","https://openalex.org/W2141007963","https://openalex.org/W2149930668","https://openalex.org/W2161386579","https://openalex.org/W2307177453","https://openalex.org/W6633573709","https://openalex.org/W6662403998","https://openalex.org/W6667720131","https://openalex.org/W6676859046","https://openalex.org/W6680821477","https://openalex.org/W6682287772","https://openalex.org/W6683655800"],"related_works":["https://openalex.org/W3214912135","https://openalex.org/W2951635595","https://openalex.org/W4387252449","https://openalex.org/W4319337879","https://openalex.org/W2012519212","https://openalex.org/W4249039539","https://openalex.org/W1523541591","https://openalex.org/W2592984741","https://openalex.org/W3197954266","https://openalex.org/W4389009345"],"abstract_inverted_index":{"Quantitative":[0],"brain":[1,23,41,83,105],"tissue":[2],"volumes":[3],"from":[4,85,121],"neonatal":[5,22,40],"magnetic":[6],"resonance":[7],"imaging":[8],"(MRI)":[9],"offer":[10],"the":[11,21,64,80,116],"possibility":[12],"of":[13,39,59,79,87,113],"improved":[14],"clinical":[15],"decision":[16],"making":[17],"and":[18,92],"diagnosis.":[19],"However,":[20],"presents":[24],"specific":[25],"challenges":[26],"to":[27,129],"automated":[28],"segmentation":[29],"algorithms.":[30],"We":[31],"developed":[32],"a":[33,47,55,70,109],"new":[34,48],"method":[35,45,81,102,118],"for":[36,82],"automatic":[37],"labeling":[38,84,106],"MR":[42],"images.":[43],"The":[44,77,100],"uses":[46],"sparsity-based":[49],"atlas":[50],"selection":[51],"strategy":[52],"that":[53],"requires":[54],"very":[56],"limited":[57],"number":[58],"atlases":[60],"'uniformly'":[61],"distributed":[62],"in":[63],"low-dimensional":[65],"data":[66,86],"space,":[67],"combined":[68],"with":[69,94,108],"machine":[71],"learning":[72],"based":[73],"label":[74],"fusion":[75],"technique.":[76],"performance":[78],"66":[88],"newborns":[89],"is":[90],"evaluated":[91],"compared":[93],"results":[95,107],"obtained":[96],"using":[97],"majority":[98],"vote.":[99],"proposed":[101,117],"provides":[103],"accurate":[104],"mean":[110],"Dice":[111],"coefficient":[112],"91%.":[114],"As":[115],"can":[119,126],"learn":[120],"partially":[122],"labeled":[123],"datasets,":[124],"it":[125],"be":[127],"used":[128],"segment":[130],"large-scale":[131],"datasets":[132],"efficiently.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}