{"id":"https://openalex.org/W4408258639","doi":"https://doi.org/10.1109/tencon61640.2024.10902669","title":"Highresolution Net for Estimation of Fetal Growth Parameters from First Trimester Ultrasound Images","display_name":"Highresolution Net for Estimation of Fetal Growth Parameters from First Trimester Ultrasound Images","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4408258639","doi":"https://doi.org/10.1109/tencon61640.2024.10902669"},"language":"en","primary_location":{"id":"doi:10.1109/tencon61640.2024.10902669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10902669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","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/A5043209594","display_name":"N. Sriraam","orcid":"https://orcid.org/0000-0003-3790-3900"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Natarajan Sriraam","raw_affiliation_strings":["Center for Medical Electronics and Computational Intelligence, Dayanand Sagar College of Engineering,Dept. of Medical Electronics Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Medical Electronics and Computational Intelligence, Dayanand Sagar College of Engineering,Dept. of Medical Electronics Engineering,Bengaluru,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079003731","display_name":"Babu Chinta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Babu Chinta","raw_affiliation_strings":["Center for Medical Electronics and Computational Intelligence, Dayanand Sagar College of Engineering,Dept. of Medical Electronics Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Medical Electronics and Computational Intelligence, Dayanand Sagar College of Engineering,Dept. of Medical Electronics Engineering,Bengaluru,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079511593","display_name":"Suresh Seshadri","orcid":"https://orcid.org/0000-0001-5236-8112"},"institutions":[{"id":"https://openalex.org/I4210138510","display_name":"Fetal Care Research Foundation","ror":"https://ror.org/031r1z972","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210138510"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Seshadri","raw_affiliation_strings":["Mediscans Pvt Ltd,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mediscans Pvt Ltd,Chennai,India","institution_ids":["https://openalex.org/I4210138510"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104005897","display_name":"Sudarshan Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138510","display_name":"Fetal Care Research Foundation","ror":"https://ror.org/031r1z972","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210138510"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudarshan Suresh","raw_affiliation_strings":["Mediscans Pvt Ltd,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mediscans Pvt Ltd,Chennai,India","institution_ids":["https://openalex.org/I4210138510"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40349443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9896000027656555,"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"}},"topics":[{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9896000027656555,"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/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9438999891281128,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9099000096321106,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5801311731338501},{"id":"https://openalex.org/keywords/first-trimester","display_name":"First trimester","score":0.518552839756012},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.48004376888275146},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.47073280811309814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39564260840415955},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39476341009140015},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.2634851932525635},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.2107076346874237},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17479828000068665},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15277805924415588},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08937570452690125},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07651683688163757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5801311731338501},{"id":"https://openalex.org/C3019714739","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"First trimester","level":4,"score":0.518552839756012},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.48004376888275146},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.47073280811309814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39564260840415955},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39476341009140015},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.2634851932525635},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.2107076346874237},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17479828000068665},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15277805924415588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08937570452690125},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07651683688163757},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon61640.2024.10902669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10902669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G3812843994","display_name":null,"funder_award_id":"AI-Adhoc/03/2022-AI Cell","funder_id":"https://openalex.org/F4320320720","funder_display_name":"Indian Council of Medical Research"}],"funders":[{"id":"https://openalex.org/F4320320720","display_name":"Indian Council of Medical Research","ror":"https://ror.org/0492wrx28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1221682153","https://openalex.org/W1686810756","https://openalex.org/W1849526360","https://openalex.org/W1998751617","https://openalex.org/W2013364878","https://openalex.org/W2147467366","https://openalex.org/W2735582614","https://openalex.org/W2737916193","https://openalex.org/W2809092945","https://openalex.org/W2963840672","https://openalex.org/W2995688498","https://openalex.org/W3181880044","https://openalex.org/W4294700294","https://openalex.org/W4392980415","https://openalex.org/W4393851886"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Crown-rump":[0],"length":[1],"(CRL)":[2],"from":[3],"ultrasound":[4],"is":[5,76],"the":[6,7,14,62,103],"standards":[8],"for":[9,33,85],"estimating":[10],"gestational":[11,82],"age":[12],"in":[13,92,102],"first":[15,104],"trimester,":[16],"however":[17],"it":[18],"must":[19],"be":[20],"measured":[21],"manually.":[22],"This":[23],"work":[24],"introduce":[25],"Highresolution":[26,59],"Net":[27,60],"(HRNet),":[28],"a":[29],"deep":[30],"learning":[31],"model":[32],"fully":[34],"automated":[35],"fetus":[36,63],"contour":[37],"recognition":[38],"and":[39,99,110,123],"CRL":[40,73,97],"measuring":[41,74],"using":[42],"ultrasound.":[43],"The":[44,72],"architecture":[45],"integrates":[46],"multi-scale":[47],"contextual":[48],"information":[49],"as":[50,52],"well":[51],"fine":[53],"detail":[54],"to":[55,79],"ensure":[56],"exact":[57],"localization.":[58],"detects":[61],"shape":[64],"with":[65],"0.926":[66],"Dice":[67],"similarity":[68],"across":[69],"3205":[70],"images.":[71],"error":[75],"0.67mm":[77],"compared":[78],"experts.":[80],"Derived":[81],"ages":[83],"allow":[84],"delivery":[86],"date":[87,101],"prediction":[88],"within":[89],"7":[90],"days":[91],"96%":[93],"of":[94,116],"cases.":[95],"Automated":[96],"quantification":[98],"pregnancy":[100],"trimester":[105],"may":[106],"reduce":[107],"interobserver":[108],"variability":[109],"enhance":[111],"workflow.":[112],"A":[113],"reliable":[114],"measurement":[115],"early":[117],"fetal":[118],"growth":[119],"will":[120],"improve":[121],"surveillance":[122],"anomaly":[124],"prediction.":[125]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
