{"id":"https://openalex.org/W4405755637","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796166","title":"A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound","display_name":"A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405755637","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796166"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine62247.2024.10796166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076591016","display_name":"Maria Chiara Fiorentino","orcid":"https://orcid.org/0000-0002-7397-803X"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Chiara Fiorentino","raw_affiliation_strings":["Universita Politecnica delle Marche,Ancona,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita Politecnica delle Marche,Ancona,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086186566","display_name":"Riccardo Rosati","orcid":"https://orcid.org/0000-0003-3288-638X"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Rosati","raw_affiliation_strings":["Universita Politecnica delle Marche,Ancona,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita Politecnica delle Marche,Ancona,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109773599","display_name":"L. F\u00e9d\u00e9rici","orcid":"https://orcid.org/0009-0003-5919-3484"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Federici","raw_affiliation_strings":["Universita Politecnica delle Marche,Ancona,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita Politecnica delle Marche,Ancona,Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043094333","display_name":"Primo Zingaretti","orcid":"https://orcid.org/0000-0002-5709-2159"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Primo Zingaretti","raw_affiliation_strings":["Universita Politecnica delle Marche,Ancona,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita Politecnica delle Marche,Ancona,Italy","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11738","display_name":"Ultrasound in Clinical Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/T11738","display_name":"Ultrasound in Clinical Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7423390746116638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500495672225952},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6314101219177246},{"id":"https://openalex.org/keywords/lung-ultrasound","display_name":"Lung ultrasound","score":0.5993527770042419},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5090391039848328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016155242919922},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4647983908653259},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4499342739582062},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4312272071838379},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23016217350959778},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2025052309036255},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.14168637990951538},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.11242815852165222},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11140194535255432},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10611072182655334}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7423390746116638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500495672225952},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6314101219177246},{"id":"https://openalex.org/C2992160955","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Lung ultrasound","level":3,"score":0.5993527770042419},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5090391039848328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016155242919922},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4647983908653259},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4499342739582062},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4312272071838379},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23016217350959778},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2025052309036255},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.14168637990951538},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.11242815852165222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11140194535255432},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10611072182655334},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/metroxraine62247.2024.10796166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.univpm.it:11566/342617","is_oa":false,"landing_page_url":"https://hdl.handle.net/11566/342617","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:u-pad.unimc.it:11393/379031","is_oa":false,"landing_page_url":"https://hdl.handle.net/11393/379031","pdf_url":null,"source":{"id":"https://openalex.org/S4377196455","display_name":"U-PAD Unimc - Open Digital Publications (University of Macerata)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55133342","host_organization_name":"University of Macerata","host_organization_lineage":["https://openalex.org/I55133342"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4000000059604645,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2793871995","https://openalex.org/W2996290406","https://openalex.org/W3012560784","https://openalex.org/W3025576489","https://openalex.org/W3106904274","https://openalex.org/W3111828199","https://openalex.org/W3160208951","https://openalex.org/W3170064385","https://openalex.org/W3203483667","https://openalex.org/W4210823587","https://openalex.org/W4239943352","https://openalex.org/W4291021415","https://openalex.org/W4311343055","https://openalex.org/W4311595310","https://openalex.org/W4321191115","https://openalex.org/W4382940781","https://openalex.org/W4391465155"],"related_works":["https://openalex.org/W3127156785","https://openalex.org/W4205754011","https://openalex.org/W3009669391","https://openalex.org/W4200329650","https://openalex.org/W4205215807","https://openalex.org/W3005417802","https://openalex.org/W4309546027","https://openalex.org/W4226296940","https://openalex.org/W3028835529","https://openalex.org/W3036314732"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"(DL)":[2],"has":[3,39],"established":[4,190],"itself":[5],"as":[6,60,131],"a":[7,14,61,76,179,198],"highly":[8,123],"effective":[9],"approach":[10,95,194],"in":[11,54,119],"medical":[12],"imaging,":[13],"fact":[15],"that":[16,65],"became":[17,31],"particularly":[18],"evident":[19],"during":[20],"the":[21,25,36,50,84,112,116,141,150,154,166,176,186,210],"COVID-19":[22],"pandemic":[23],"when":[24],"need":[26],"for":[27,82],"advanced":[28],"diagnostic":[29,211],"tools":[30],"critical.":[32],"Although":[33],"much":[34],"of":[35,52,88,115,152,159,183,205],"existing":[37],"research":[38],"centered":[40],"around":[41],"computed":[42],"tomography":[43],"(CT)":[44],"scans,":[45],"this":[46],"study":[47],"focuses":[48],"on":[49],"application":[51],"DL":[53],"lung":[55,89],"ultrasound":[56],"(LUS),":[57],"emphasizing":[58],"LUS":[59,132],"non-invasive":[62],"imaging":[63],"technique":[64],"is":[66,162],"safer":[67],"and":[68,86,105,110,201],"more":[69,199],"accessible":[70],"than":[71],"CT.":[72],"This":[73,192],"paper":[74],"introduces":[75],"multi-task":[77],"learning":[78],"framework,":[79],"meticulously":[80],"crafted":[81],"both":[83],"classification":[85,104],"segmentation":[87,106],"damage":[90],"induced":[91],"by":[92,122,171],"COVID-19.":[93],"The":[94,134],"aims":[96],"to":[97,197],"evaluate":[98],"whether":[99],"integrating":[100],"shared":[101],"features":[102],"between":[103],"tasks":[107],"enhances":[108],"predictions":[109],"boosts":[111],"overall":[113],"effectiveness":[114],"model,":[117],"even":[118],"domains":[120],"characterized":[121],"variable,":[124],"complex":[125],"images":[126],"lacking":[127],"geometric":[128],"patterns":[129],"such":[130],"images.":[133],"model's":[135],"performance":[136],"was":[137],"thoroughly":[138],"assessed":[139],"using":[140],"publicly":[142],"available":[143],"ICLUS":[144],"dataset,":[145],"showing":[146],"promising":[147],"results.":[148],"For":[149],"task":[151],"classification,":[153],"model":[155,177],"achieved":[156,170],"an":[157,163],"accuracy":[158,168],"66%,":[160],"which":[161],"improvement":[164],"over":[165],"63%":[167],"rate":[169],"single-task":[172],"models.":[173],"In":[174],"segmentation,":[175],"attained":[178],"Dice":[180],"similarity":[181],"coefficient":[182],"49%,":[184],"surpassing":[185],"47%":[187],"obtained":[188],"with":[189],"techniques.":[191],"integrated":[193],"ultimately":[195],"leads":[196],"precise":[200],"visually":[202],"clearer":[203],"assessment":[204],"patients'":[206],"clinical":[207],"states,":[208],"enhancing":[209],"process.":[212]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}