{"id":"https://openalex.org/W2168675835","doi":"https://doi.org/10.1109/fuzzy.2009.5276881","title":"Fuzzy thick rubber model for cerebral surface extraction in neonatal brain MR images","display_name":"Fuzzy thick rubber model for cerebral surface extraction in neonatal brain MR images","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2168675835","doi":"https://doi.org/10.1109/fuzzy.2009.5276881","mag":"2168675835"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5276881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5276881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5042142624","display_name":"Syoji Kobashi","orcid":"https://orcid.org/0000-0003-3659-4114"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Syoji Kobashi","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037270333","display_name":"Takuma Oshiba","orcid":null},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Oshiba","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101039425","display_name":"Kumiko Ando","orcid":null},"institutions":[{"id":"https://openalex.org/I137459256","display_name":"Hyogo Medical University","ror":"https://ror.org/001yc7927","country_code":"JP","type":"education","lineage":["https://openalex.org/I137459256"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kumiko Ando","raw_affiliation_strings":["Hyogo College of Medicine, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Hyogo College of Medicine, Hyogo, Japan","institution_ids":["https://openalex.org/I137459256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030456577","display_name":"Reiichi Ishikura","orcid":"https://orcid.org/0000-0003-4454-3923"},"institutions":[{"id":"https://openalex.org/I137459256","display_name":"Hyogo Medical University","ror":"https://ror.org/001yc7927","country_code":"JP","type":"education","lineage":["https://openalex.org/I137459256"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Reiichi Ishikura","raw_affiliation_strings":["Hyogo College of Medicine, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Hyogo College of Medicine, Hyogo, Japan","institution_ids":["https://openalex.org/I137459256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114043143","display_name":"S Imawaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126247","display_name":"Nishikawa Hospital","ror":"https://ror.org/032qsa580","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210126247"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Setsuro Imawaki","raw_affiliation_strings":["Ishikawa Hospital, Japan"],"affiliations":[{"raw_affiliation_string":"Ishikawa Hospital, Japan","institution_ids":["https://openalex.org/I4210126247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113817560","display_name":"Shozo Hirota","orcid":null},"institutions":[{"id":"https://openalex.org/I137459256","display_name":"Hyogo Medical University","ror":"https://ror.org/001yc7927","country_code":"JP","type":"education","lineage":["https://openalex.org/I137459256"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shozo Hirota","raw_affiliation_strings":["Hyogo College of Medicine, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Hyogo College of Medicine, Hyogo, Japan","institution_ids":["https://openalex.org/I137459256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068575065","display_name":"Yutaka Hata","orcid":"https://orcid.org/0000-0002-7606-6407"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Hata","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5042142624"],"corresponding_institution_ids":["https://openalex.org/I180941496"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2091703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"927","last_page":"932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6213234663009644},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5624048709869385},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5420442819595337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49724605679512024},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.49163442850112915},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4840797483921051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47127482295036316},{"id":"https://openalex.org/keywords/partial-volume","display_name":"Partial volume","score":0.4687854051589966},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46423617005348206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519103765487671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3732324242591858},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.32554924488067627},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17299547791481018},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1593354046344757},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15091532468795776}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6213234663009644},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5624048709869385},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5420442819595337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49724605679512024},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.49163442850112915},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4840797483921051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47127482295036316},{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.4687854051589966},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46423617005348206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519103765487671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3732324242591858},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.32554924488067627},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17299547791481018},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1593354046344757},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15091532468795776},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5276881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5276881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1498068084","https://openalex.org/W1537561328","https://openalex.org/W1970104171","https://openalex.org/W1999695779","https://openalex.org/W2019683809","https://openalex.org/W2024421067","https://openalex.org/W2030178584","https://openalex.org/W2071881327","https://openalex.org/W2116895317","https://openalex.org/W2133470640","https://openalex.org/W2157337369","https://openalex.org/W2229412420","https://openalex.org/W4233857083","https://openalex.org/W6629826986","https://openalex.org/W6632208530"],"related_works":["https://openalex.org/W2089168353","https://openalex.org/W1970457826","https://openalex.org/W2160056785","https://openalex.org/W1605096437","https://openalex.org/W1514883753","https://openalex.org/W2021722477","https://openalex.org/W1977815680","https://openalex.org/W2169101840","https://openalex.org/W2155396404","https://openalex.org/W2420770795"],"abstract_inverted_index":{"Cerebral":[0],"surface":[1],"extraction":[2],"plays":[3],"a":[4,56],"fundamental":[5],"role":[6],"of":[7,22,45],"computer":[8],"aided":[9],"diagnosis":[10],"(CAD)":[11],"for":[12],"neonatal":[13,24],"brain":[14],"magnetic":[15],"resonance":[16],"(MR)":[17],"images.":[18,97],"However,":[19],"cerebral":[20,36,62,115,174],"sulci":[21],"the":[23,43,61,82,88,94,100,107,114,141,145,158,164,172],"brains":[25],"is":[26,31,73,110],"complexity":[27],"folded,":[28],"and":[29,48,144],"it":[30],"difficult":[32],"to":[33,42,59,93,105,112,125,135,162],"extract":[34,60,113],"complete":[35],"contour":[37,63,116,143,148],"from":[38,87,132,157],"MR":[39,85,96,101],"images":[40,86,102],"due":[41],"limitation":[44],"spatial":[46],"resolution":[47],"partial":[49],"volume":[50],"effect":[51],"(PVE).":[52],"This":[53],"paper":[54],"proposes":[55],"novel":[57],"method":[58,109,122],"based":[64],"on":[65],"fuzzy":[66,77],"thick":[67],"rubber":[68],"model":[69],"(TRM).":[70],"The":[71,120,138],"TRM":[72,90],"deformed":[74],"by":[75,149],"using":[76,171],"control":[78],"schemes":[79],"so":[80],"that":[81],"digitally":[83],"synthesized":[84],"deforming":[89],"are":[91],"identical":[92],"given":[95],"By":[98],"synthesizing":[99],"with":[103,117],"respect":[104],"PVE,":[106],"proposed":[108,121],"able":[111],"sub-voxel":[118],"accuracy.":[119],"was":[123,152,169],"applied":[124],"7":[126],"subjects":[127],"whose":[128],"revised":[129],"ages":[130],"were":[131],"-17":[133],"days":[134],"34":[136],"days.":[137],"root-mean-squared-error":[139],"between":[140],"extracted":[142,173],"manually":[146],"delineated":[147],"two":[150],"physicians":[151],"1.09":[153],"plusmn":[154],"0.48":[155],"mm":[156],"truth":[159],"contour.":[160,175],"And,":[161],"demonstrate":[163],"clinical":[165],"effective,":[166],"gyral":[167],"index":[168],"calculated":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}