{"id":"https://openalex.org/W2729594464","doi":"https://doi.org/10.1587/transinf.2016edp7493","title":"A Spatiotemporal Statistical Model for Eyeballs of Human Embryos","display_name":"A Spatiotemporal Statistical Model for Eyeballs of Human Embryos","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2729594464","doi":"https://doi.org/10.1587/transinf.2016edp7493","mag":"2729594464"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2016edp7493","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7493","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7493/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7493/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087826430","display_name":"Masashi Kishimoto","orcid":"https://orcid.org/0000-0001-8393-3057"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi KISHIMOTO","raw_affiliation_strings":["Tokyo University of Agriculture and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101625917","display_name":"Atsushi Saito","orcid":"https://orcid.org/0000-0001-9502-8134"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi SAITO","raw_affiliation_strings":["Tokyo University of Agriculture and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033383410","display_name":"Tetsuya Takakuwa","orcid":"https://orcid.org/0000-0002-9660-9384"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya TAKAKUWA","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041975205","display_name":"Shigehito Yamada","orcid":"https://orcid.org/0000-0002-8194-6927"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigehito YAMADA","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052710320","display_name":"Hiroshi Matsuzoe","orcid":"https://orcid.org/0000-0001-6113-4799"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi MATSUZOE","raw_affiliation_strings":["Nagoya Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031879419","display_name":"Hidekata Hontani","orcid":"https://orcid.org/0000-0001-9081-7740"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidekata HONTANI","raw_affiliation_strings":["Nagoya Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101543518","display_name":"Akinobu Shimizu","orcid":"https://orcid.org/0000-0002-2719-5923"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akinobu SHIMIZU","raw_affiliation_strings":["Tokyo University of Agriculture and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6343,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82412679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"E100.D","issue":"7","first_page":"1505","last_page":"1515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9937999844551086,"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":0.9937999844551086,"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/T10828","display_name":"Biometric Identification and Security","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9891999959945679,"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":0.7233647704124451},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.6731589436531067},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5744541883468628},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5336217284202576},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46250292658805847},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.44812530279159546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4421994090080261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.438178688287735},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4216362535953522},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35131216049194336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33300143480300903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233647704124451},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.6731589436531067},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5744541883468628},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5336217284202576},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46250292658805847},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.44812530279159546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4421994090080261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.438178688287735},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4216362535953522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35131216049194336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33300143480300903},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2016edp7493","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7493","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7493/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2016edp7493","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2016edp7493","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E100.D/7/E100.D_2016EDP7493/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G297644444","display_name":null,"funder_award_id":"26108001","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3570052872","display_name":null,"funder_award_id":"17H05294","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G401039924","display_name":null,"funder_award_id":"17H05296","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4090416897","display_name":"Statistical modeling and its applications for autopsy imaging","funder_award_id":"16H06785","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5154890321","display_name":"Myocardial fiber formation in the human fetus detected by diffusion tensor imaging","funder_award_id":"16K15535","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5245923687","display_name":null,"funder_award_id":"26108003","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G748335163","display_name":null,"funder_award_id":"26108002","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G8821722338","display_name":"New diagnostic criteria in early human embryo using computational anatomy and genetic techniques","funder_award_id":"15K08134","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2729594464.pdf","grobid_xml":"https://content.openalex.org/works/W2729594464.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486560398","https://openalex.org/W1489600591","https://openalex.org/W1579925870","https://openalex.org/W1909894032","https://openalex.org/W1976416967","https://openalex.org/W1990820566","https://openalex.org/W2025064394","https://openalex.org/W2038952578","https://openalex.org/W2048192550","https://openalex.org/W2065340506","https://openalex.org/W2074268428","https://openalex.org/W2095621725","https://openalex.org/W2104276184","https://openalex.org/W2106751088","https://openalex.org/W2109628644","https://openalex.org/W2132395515","https://openalex.org/W2142635246","https://openalex.org/W2155343350","https://openalex.org/W2168228898","https://openalex.org/W2469071286","https://openalex.org/W2500263766","https://openalex.org/W2595001887","https://openalex.org/W2964177960","https://openalex.org/W4313169793"],"related_works":["https://openalex.org/W1980511770","https://openalex.org/W2373052636","https://openalex.org/W2052589448","https://openalex.org/W2380927352","https://openalex.org/W3178621026","https://openalex.org/W2137598809","https://openalex.org/W2085553065","https://openalex.org/W4211209597","https://openalex.org/W3048981730","https://openalex.org/W2154522720"],"abstract_inverted_index":{"During":[0],"the":[1,7,16,49,64,68,83,95,115,134,151,158,173,180,203,214],"development":[2],"of":[3,9,21,35,51,63,67,118,143,145,175,202,205],"a":[4,44,52,60,85,89,103,107,176,198,206],"human":[5,53,148,207],"embryo,":[6],"position":[8],"eyes":[10],"moves":[11],"medially":[12],"and":[13,121,160,209],"caudally":[14],"in":[15,29,147,187],"viscerocranium.":[17],"A":[18,141],"statistical":[19,46,61,116,139,200],"model":[20,47,62,90,159,201],"this":[22],"process":[23],"can":[24],"play":[25],"an":[26,40,130,194],"important":[27],"role":[28],"embryology":[30],"by":[31,76],"facilitating":[32],"qualitative":[33],"analyses":[34],"change.":[36],"This":[37],"paper":[38],"proposes":[39],"algorithm":[41,58,132,195],"to":[42,101,156,196],"construct":[43,197],"spatiotemporal":[45,138,199],"for":[48,71,133],"eyeballs":[50,69,146,204],"embryo.":[54],"The":[55,164,184],"proposed":[56,193],"modeling":[57,165,182],"builds":[59],"spatial":[65],"coordinates":[66],"independently":[70],"each":[72],"Carnegie":[73],"stage":[74],"(CS)":[75],"using":[77,136,213],"principal":[78],"component":[79],"analysis":[80],"(PCA).":[81],"In":[82],"process,":[84],"q-Gaussian":[86,177],"distribution":[87,105,178],"with":[88,106],"selection":[91],"scheme":[92],"based":[93],"on":[94],"Aaike":[96],"information":[97,169],"criterion":[98],"is":[99,179],"used":[100,155],"handle":[102],"non-Gaussian":[104],"small":[108],"sample":[109],"size.":[110],"Subsequently,":[111],"it":[112],"seamlessly":[113],"interpolates":[114],"models":[117],"neighboring":[119],"CSs,":[120],"we":[122],"present":[123],"10":[124],"interpolation":[125,171],"methods.":[126],"We":[127,192],"also":[128],"propose":[129],"estimation":[131,189],"CS":[135,188],"our":[137],"model.":[140],"set":[142],"images":[144],"embryos":[149],"from":[150],"Kyoto":[152,215],"Collection":[153],"was":[154,190],"train":[157],"assess":[161],"its":[162,211],"performance.":[163],"results":[166],"suggested":[167],"that":[168],"geometry-based":[170],"under":[172],"assumption":[174],"best":[181],"method.":[183],"average":[185],"error":[186],"0.409.":[191],"embryo":[208],"tested":[210],"performance":[212],"Collection.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}