{"id":"https://openalex.org/W4310644357","doi":"https://doi.org/10.1109/tmi.2022.3226274","title":"A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans","display_name":"A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4310644357","doi":"https://doi.org/10.1109/tmi.2022.3226274","pmid":"https://pubmed.ncbi.nlm.nih.gov/36455084"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3226274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3226274","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-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/A5065289736","display_name":"Robail Yasrab","orcid":"https://orcid.org/0000-0002-1673-1946"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Robail Yasrab","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1673-1946","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012939991","display_name":"Zeyu Fu","orcid":"https://orcid.org/0000-0002-2076-7597"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zeyu Fu","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2076-7597","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038625195","display_name":"He Zhao","orcid":"https://orcid.org/0000-0002-8264-9297"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"He Zhao","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8264-9297","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079771748","display_name":"Lok Hin Lee","orcid":"https://orcid.org/0000-0002-8562-348X"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lok Hin Lee","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056301773","display_name":"Harshita Sharma","orcid":"https://orcid.org/0000-0003-4683-2606"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Harshita Sharma","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4683-2606","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076657548","display_name":"Lior Drukker","orcid":"https://orcid.org/0000-0002-5588-1410"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I2800389475","display_name":"Rabin Medical Center","ror":"https://ror.org/01vjtf564","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I2800389475","https://openalex.org/I64767286"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB","IL"],"is_corresponding":false,"raw_author_name":"Lior Drukker","raw_affiliation_strings":["Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, U.K","Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel"],"raw_orcid":"https://orcid.org/0000-0002-5588-1410","affiliations":[{"raw_affiliation_string":"Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I2800389475","https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085567958","display_name":"Aris T. Papageorgiou","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aris T Papageorgiou","raw_affiliation_strings":["Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077728082","display_name":"J. Alison Noble","orcid":"https://orcid.org/0000-0002-3060-3772"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Alison Noble","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Oxford, Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3060-3772","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5065289736"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":9.1343,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.98299145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"42","issue":"5","first_page":"1301","last_page":"1313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9987000226974487,"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":0.9987000226974487,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9624999761581421,"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/workflow","display_name":"Workflow","score":0.7495300769805908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984909176826477},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6610109806060791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5143119096755981},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4957317113876343},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4263980984687805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3404245972633362},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2324294149875641},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14377781748771667},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.104428231716156}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7495300769805908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984909176826477},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6610109806060791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5143119096755981},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4957317113876343},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4263980984687805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3404245972633362},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2324294149875641},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14377781748771667},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.104428231716156}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011261","descriptor_name":"Pregnancy Trimester, First","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011261","descriptor_name":"Pregnancy Trimester, First","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011261","descriptor_name":"Pregnancy Trimester, First","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D048208","descriptor_name":"Nuchal Translucency Measurement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D048208","descriptor_name":"Nuchal Translucency Measurement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D048208","descriptor_name":"Nuchal Translucency Measurement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057188","descriptor_name":"Workflow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057188","descriptor_name":"Workflow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057188","descriptor_name":"Workflow","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3226274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3226274","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36455084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36455084","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:ora.ox.ac.uk:uuid:e71dc27e-95fd-434c-8abb-1b350eccf54a","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:e71dc27e-95fd-434c-8abb-1b350eccf54a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1277543710","display_name":null,"funder_award_id":"EP/M013774/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G485279849","display_name":"CALOPUS - Computer Assisted LOw-cost Point-of-care UltraSound","funder_award_id":"EP/R013853/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5003611146","display_name":"Visual AI: An Open World Interpretable Visual Transformer","funder_award_id":"EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6830006795","display_name":null,"funder_award_id":"ERC-ADG-2015694581","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G8161891803","display_name":null,"funder_award_id":"EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1221682153","https://openalex.org/W1484413656","https://openalex.org/W1592819755","https://openalex.org/W1686810756","https://openalex.org/W1979599416","https://openalex.org/W1991370230","https://openalex.org/W2000012067","https://openalex.org/W2016053056","https://openalex.org/W2024632802","https://openalex.org/W2061715187","https://openalex.org/W2067059483","https://openalex.org/W2077464165","https://openalex.org/W2103464444","https://openalex.org/W2117539524","https://openalex.org/W2119249988","https://openalex.org/W2139037570","https://openalex.org/W2147138905","https://openalex.org/W2161565164","https://openalex.org/W2167921663","https://openalex.org/W2194775991","https://openalex.org/W2266464013","https://openalex.org/W2397945399","https://openalex.org/W2515583464","https://openalex.org/W2526417872","https://openalex.org/W2569161580","https://openalex.org/W2598799153","https://openalex.org/W2890529609","https://openalex.org/W2922325549","https://openalex.org/W2951629160","https://openalex.org/W2954909334","https://openalex.org/W2955545135","https://openalex.org/W2963417582","https://openalex.org/W2969129620","https://openalex.org/W2979459070","https://openalex.org/W2980852587","https://openalex.org/W2999570143","https://openalex.org/W3027362725","https://openalex.org/W3036634920","https://openalex.org/W3090837557","https://openalex.org/W3091454067","https://openalex.org/W3091471190","https://openalex.org/W3099853841","https://openalex.org/W3100255860","https://openalex.org/W3101842892","https://openalex.org/W3103147169","https://openalex.org/W3121390535","https://openalex.org/W3124211545","https://openalex.org/W3164665048","https://openalex.org/W3178709181","https://openalex.org/W3185729043","https://openalex.org/W3190066797","https://openalex.org/W3206611485","https://openalex.org/W3209981244","https://openalex.org/W4210292254","https://openalex.org/W4280496832","https://openalex.org/W4282972746","https://openalex.org/W6628750762","https://openalex.org/W6637373629","https://openalex.org/W6645156638"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Obstetric":[0],"ultrasound":[1,49,55,105,129],"assessment":[2],"of":[3,10,14,23,26,33,46,53,68,73,153,167],"fetal":[4,104,139],"anatomy":[5,140,203],"in":[6,19,81,142,148],"the":[7,15,24,38,66,138,143,197,201,216],"first":[8,39,47,85],"trimester":[9,48,86],"pregnancy":[11],"is":[12,209,215,232],"one":[13],"less":[16],"explored":[17],"fields":[18],"obstetric":[20],"sonography":[21],"because":[22],"paucity":[25],"guidelines":[27],"on":[28,137,242],"anatomical":[29],"screening":[30],"and":[31,44,121,160,190,206,222],"availability":[32],"data.":[34],"This":[35],"paper,":[36],"for":[37,84,115],"time,":[40],"examines":[41],"imaging":[42],"proficiency":[43],"practices":[45],"scanning":[50],"through":[51],"analysis":[52],"full-length":[54,101],"video":[56,116,130,169],"scans.":[57],"Findings":[58],"from":[59,100,196],"this":[60,89],"study":[61],"provide":[62],"insights":[63],"to":[64,95,125,220,226],"inform":[65],"development":[67],"more":[69,240],"effective":[70],"user-machine":[71],"interfaces,":[72],"targeted":[74],"assistive":[75],"technologies,":[76],"as":[77,79],"well":[78],"improvements":[80],"workflow":[82,99,186],"protocols":[83],"scanning.":[87],"Specifically,":[88],"paper":[90],"presents":[91],"an":[92,128],"automated":[93],"framework":[94],"model":[96,146],"operator":[97,188],"clinical":[98],"routine":[102],"first-trimester":[103],"scan":[106],"videos.":[107],"The":[108,145],"2D+t":[109],"convolutional":[110],"neural":[111],"network-based":[112],"architecture":[113],"proposed":[114],"annotation":[117],"incorporates":[118],"transfer":[119],"learning":[120],"spatio-temporal":[122],"(2D+t)":[123],"modelling":[124],"automatically":[126],"partition":[127],"into":[131],"semantically":[132],"meaningful":[133],"temporal":[134],"segments":[135],"based":[136],"detected":[141,202],"video.":[144],"results":[147],"a":[149,173],"cross-validation":[150],"A1":[151],"accuracy":[152],"96.10%":[154],",":[155,157],"F1=0.95":[156],"precision":[158],"=0.94":[159],"recall":[161],"=0.95":[162],".":[163],"Automated":[164],"semantic":[165],"partitioning":[166],"unlabelled":[168],"scans":[170],"(n=250)":[171],"achieves":[172],"high":[174],"correlation":[175],"with":[176],"expert":[177],"annotations":[178],"(":[179],"\u03c1":[180],"=":[181],"0.95,":[182],"p=0.06":[183],").":[184],"Clinical":[185],"patterns,":[187],"skill":[189],"its":[191],"variability":[192],"can":[193],"be":[194],"derived":[195],"resulting":[198],"representation":[199],"using":[200],"labels,":[204],"order,":[205],"distribution.":[207],"It":[208],"shown":[210],"that":[211,234],"nuchal":[212],"translucency":[213],"(NT)":[214],"toughest":[217],"standard":[218],"plane":[219],"acquire":[221],"most":[223],"operators":[224,237],"struggle":[225],"localize":[227],"high-quality":[228],"frames.":[229],"Furthermore,":[230],"it":[231],"found":[233],"newly":[235],"qualified":[236],"spend":[238],"25.56%":[239],"time":[241],"key":[243],"biometry":[244],"tasks":[245],"than":[246],"experienced":[247],"operators.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}