{"id":"https://openalex.org/W3159061365","doi":"https://doi.org/10.1109/embc46164.2021.9630461","title":"Height Estimation of Children under Five Years using Depth Images","display_name":"Height Estimation of Children under Five Years using Depth Images","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3159061365","doi":"https://doi.org/10.1109/embc46164.2021.9630461","mag":"3159061365","pmid":"https://pubmed.ncbi.nlm.nih.gov/34892081"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9630461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9630461","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5018606314","display_name":"Anusua Trivedi","orcid":"https://orcid.org/0000-0002-1315-2113"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anusua Trivedi","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069671912","display_name":"Mohit Jain","orcid":"https://orcid.org/0000-0002-7106-164X"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohit Jain","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018639233","display_name":"Nikhil Gupta","orcid":"https://orcid.org/0000-0002-2665-3515"},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nikhil Kumar Gupta","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051564525","display_name":"Markus Hinsche","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Markus Hinsche","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725980","display_name":"Prashant Singh","orcid":"https://orcid.org/0000-0001-8463-5852"},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Prashant Singh","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007933617","display_name":"Markus Matiaschek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Markus Matiaschek","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049786772","display_name":"Tristan Behrens","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tristan Behrens","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087800418","display_name":"Mirco Militeri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirco Militeri","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039052022","display_name":"Cameron Birge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cameron Birge","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036224576","display_name":"Shivangi Kaushik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164629","display_name":"Pension Fund for Care and Well-Being","ror":"https://ror.org/05a8epj20","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I4210164629"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shivangi Kaushik","raw_affiliation_strings":["Child Growth Monitor, Welthungerhilfe"],"affiliations":[{"raw_affiliation_string":"Child Growth Monitor, Welthungerhilfe","institution_ids":["https://openalex.org/I4210164629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001781979","display_name":"Archisman Mohapatra","orcid":"https://orcid.org/0000-0002-3095-2526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Archisman Mohapatra","raw_affiliation_strings":["GRID Council, India"],"affiliations":[{"raw_affiliation_string":"GRID Council, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103473955","display_name":"Rita Chatterjee","orcid":null},"institutions":[{"id":"https://openalex.org/I13529149","display_name":"Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences","ror":"https://ror.org/053y9xq02","country_code":"IN","type":"education","lineage":["https://openalex.org/I13529149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rita Chatterjee","raw_affiliation_strings":["Pediatrics, Dr. B C Roy PGI PS, India"],"affiliations":[{"raw_affiliation_string":"Pediatrics, Dr. B C Roy PGI PS, India","institution_ids":["https://openalex.org/I13529149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022013110","display_name":"Rahul Dodhia","orcid":"https://orcid.org/0000-0003-3812-3906"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rahul Dodhia","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025368433","display_name":"Juan Lavista Ferres","orcid":"https://orcid.org/0000-0002-9654-3178"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Juan Lavista Ferres","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5018606314"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":0.6533,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.79835806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"3886","last_page":"3889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9458000063896179,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9458000063896179,"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/T12279","display_name":"Body Composition Measurement Techniques","score":0.9003000259399414,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/anthropometry","display_name":"Anthropometry","score":0.7507685422897339},{"id":"https://openalex.org/keywords/circumference","display_name":"Circumference","score":0.5725407004356384},{"id":"https://openalex.org/keywords/malnutrition","display_name":"Malnutrition","score":0.560015082359314},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.5376558899879456},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5088684558868408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46060851216316223},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4555872082710266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3903907537460327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3617352843284607},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36040836572647095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3285839557647705},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2255498468875885},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.21280819177627563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1044740080833435}],"concepts":[{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.7507685422897339},{"id":"https://openalex.org/C166504685","wikidata":"https://www.wikidata.org/wiki/Q843905","display_name":"Circumference","level":2,"score":0.5725407004356384},{"id":"https://openalex.org/C551997983","wikidata":"https://www.wikidata.org/wiki/Q12167","display_name":"Malnutrition","level":2,"score":0.560015082359314},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.5376558899879456},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5088684558868408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46060851216316223},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4555872082710266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3903907537460327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3617352843284607},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36040836572647095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3285839557647705},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2255498468875885},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.21280819177627563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1044740080833435},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001827","descriptor_name":"Body Height","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001827","descriptor_name":"Body Height","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001827","descriptor_name":"Body Height","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001835","descriptor_name":"Body Weight","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001835","descriptor_name":"Body Weight","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001835","descriptor_name":"Body Weight","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006130","descriptor_name":"Growth Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006130","descriptor_name":"Growth Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006130","descriptor_name":"Growth Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc46164.2021.9630461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9630461","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34892081","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34892081","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2106468294","https://openalex.org/W2108299364","https://openalex.org/W2153311019","https://openalex.org/W2560609797","https://openalex.org/W2803935161","https://openalex.org/W2944926369","https://openalex.org/W3034176721","https://openalex.org/W4288349627","https://openalex.org/W6761883357"],"related_works":["https://openalex.org/W2054886872","https://openalex.org/W2407577060","https://openalex.org/W2406901408","https://openalex.org/W2076122512","https://openalex.org/W2604015148","https://openalex.org/W169539494","https://openalex.org/W2610149077","https://openalex.org/W2531508704","https://openalex.org/W2415710451","https://openalex.org/W883119068"],"abstract_inverted_index":{"Malnutrition":[0],"is":[1,7,34,82],"a":[2,8,35,51,69,100],"global":[3,40],"health":[4],"crisis":[5],"and":[6,26],"leading":[9],"cause":[10],"of":[11,23,58,104,140],"death":[12],"among":[13],"children":[14,60,136],"under":[15,61],"5":[16,62,138],"years.":[17],"Detecting":[18],"malnutrition":[19],"requires":[20],"anthropometric":[21],"measurements":[22],"weight,":[24],"height,":[25],"middle-upper":[27],"arm":[28],"circumference.":[29],"However,":[30],"measuring":[31],"them":[32],"accurately":[33,117,129],"challenge,":[36],"especially":[37],"in":[38,134],"the":[39,56,73,77,119],"south,":[41],"due":[42],"to":[43,54,72],"limited":[44],"resources.":[45],"In":[46],"this":[47],"work,":[48],"we":[49,114],"propose":[50],"CNN-based":[52],"approach":[53],"estimate":[55],"height":[57,81,116],"standing":[59,135],"years":[63,139],"from":[64],"depth":[65,95],"images":[66],"collected":[67],"using":[68],"smartphone.":[70],"According":[71],"SMART":[74],"Methodology":[75],"Manual,":[76],"acceptable":[78,120],"accuracy":[79],"for":[80],"less":[83],"than":[84],"1.4":[85,121],"cm.":[86],"On":[87],"training":[88],"our":[89,97,125],"deep":[90],"learning":[91],"model":[92,98],"on":[93,106],"87131":[94],"images,":[96,113],"achieved":[99],"mean":[101],"absolute":[102],"error":[103],"1.64%":[105],"57064":[107],"test":[108,112],"images.":[109],"For":[110],"70.3%":[111],"estimated":[115],"within":[118],"cm":[122],"range.":[123],"Thus,":[124],"proposed":[126],"solution":[127],"can":[128],"detect":[130],"stunting":[131],"(low":[132],"height-for-age)":[133],"below":[137],"age.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}