{"id":"https://openalex.org/W3108307641","doi":"https://doi.org/10.1109/icstcc50638.2020.9259701","title":"Deep learning models based on automatic labeling with application in echocardiography","display_name":"Deep learning models based on automatic labeling with application in echocardiography","publication_year":2020,"publication_date":"2020-10-08","ids":{"openalex":"https://openalex.org/W3108307641","doi":"https://doi.org/10.1109/icstcc50638.2020.9259701","mag":"3108307641"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc50638.2020.9259701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc50638.2020.9259701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 24th International Conference on System Theory, Control and Computing (ICSTCC)","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/A5049978013","display_name":"Manuela Daniela Danu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095246","display_name":"Siemens (Romania)","ror":"https://ror.org/00sexkk33","country_code":"RO","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210095246"]},{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Manuela Danu","raw_affiliation_strings":["Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","Corporate Technology, Siemens SRL, Brasov, Romania"],"affiliations":[{"raw_affiliation_string":"Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]},{"raw_affiliation_string":"Corporate Technology, Siemens SRL, Brasov, Romania","institution_ids":["https://openalex.org/I4210095246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041609881","display_name":"Costin Ciusdel","orcid":"https://orcid.org/0000-0001-5002-982X"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]},{"id":"https://openalex.org/I4210095246","display_name":"Siemens (Romania)","ror":"https://ror.org/00sexkk33","country_code":"RO","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210095246"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Costin Florian Ciusdel","raw_affiliation_strings":["Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","Corporate Technology, Siemens SRL, Brasov, Romania"],"affiliations":[{"raw_affiliation_string":"Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]},{"raw_affiliation_string":"Corporate Technology, Siemens SRL, Brasov, Romania","institution_ids":["https://openalex.org/I4210095246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006236000","display_name":"Lucian Itu","orcid":"https://orcid.org/0000-0002-2205-497X"},"institutions":[{"id":"https://openalex.org/I4210095246","display_name":"Siemens (Romania)","ror":"https://ror.org/00sexkk33","country_code":"RO","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210095246"]},{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lucian Mihai Itu","raw_affiliation_strings":["Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","Corporate Technology, Siemens SRL, Brasov, Romania"],"affiliations":[{"raw_affiliation_string":"Automation and Information Technology, Transilvania University of Brasov, Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]},{"raw_affiliation_string":"Corporate Technology, Siemens SRL, Brasov, Romania","institution_ids":["https://openalex.org/I4210095246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049978013"],"corresponding_institution_ids":["https://openalex.org/I3123573182","https://openalex.org/I4210095246"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6450204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9951000213623047,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9876000285148621,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9696999788284302,"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":0.8050398230552673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.667077362537384},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6344800591468811},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6165194511413574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.544054388999939},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5314333438873291},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5069270730018616},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49912571907043457},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.49139395356178284},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4724072813987732},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4570368528366089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3467318117618561},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13994050025939941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050398230552673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.667077362537384},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6344800591468811},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6165194511413574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.544054388999939},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5314333438873291},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5069270730018616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49912571907043457},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.49139395356178284},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4724072813987732},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4570368528366089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3467318117618561},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13994050025939941},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc50638.2020.9259701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc50638.2020.9259701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 24th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315989","display_name":"National Authority for Scientific Research and Innovation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W2007220461","https://openalex.org/W2163345210","https://openalex.org/W2326925005","https://openalex.org/W2395579298","https://openalex.org/W2401640538","https://openalex.org/W2487442924","https://openalex.org/W2550462002","https://openalex.org/W2604986524","https://openalex.org/W2768591600","https://openalex.org/W2768699144","https://openalex.org/W2887280559","https://openalex.org/W2927438889","https://openalex.org/W2950938254","https://openalex.org/W2962851944","https://openalex.org/W2963048966","https://openalex.org/W2963420272","https://openalex.org/W2963934231","https://openalex.org/W2964037671","https://openalex.org/W4294554810","https://openalex.org/W6652154813","https://openalex.org/W6685133223","https://openalex.org/W6704369950","https://openalex.org/W6713563955","https://openalex.org/W6722416126","https://openalex.org/W6736175030","https://openalex.org/W6746109681"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3096913503"],"abstract_inverted_index":{"Our":[0],"goal":[1],"is":[2,35,73,159],"to":[3,18,39,80,84,106,179,213,227],"apply":[4],"deep":[5],"learning":[6,182,191,221,233],"(DL)":[7],"based":[8],"techniques":[9],"in":[10,16,42,231],"the":[11,43,52,101,134,155,181,198,206,210,225,232,236],"context":[12],"of":[13,31,54,113,145,152,205,235],"medical":[14,44],"imaging":[15],"order":[17,110,178],"perform":[19],"automatic":[20],"data":[21],"labeling.":[22],"Generally,":[23],"training":[24],"a":[25,74,111,119,138,162,203],"neural":[26],"network":[27],"requires":[28],"large":[29],"amounts":[30],"(annotated)":[32],"data,":[33],"which":[34,78],"often":[36],"very":[37],"difficult":[38],"obtain,":[40],"especially":[41],"field.":[45],"To":[46],"alleviate":[47],"this":[48,58,93,170,185],"problem,":[49,77],"we":[50,60,96,104,132,172,188,217],"propose":[51],"use":[53,133],"pre-trained":[55],"models.":[56],"In":[57,100,177],"paper,":[59],"present":[61],"two":[62],"pre-training":[63],"methods,":[64],"formulated":[65,160],"as":[66,137,161],"self-supervised":[67],"classification":[68,76,164,200],"problems.":[69],"The":[70],"first":[71,94,199],"one":[72],"binary":[75],"aims":[79],"label":[81],"echocardiographies":[82],"according":[83],"how":[85],"they":[86],"are":[87,149],"represented:":[88],"flipped":[89],"or":[90],"non-flipped.":[91],"For":[92,169],"task,":[95,187],"achieved":[97],"95.83%":[98],"accuracy.":[99,176],"second":[102,186],"approach":[103],"aim":[105],"sort":[107],"into":[108],"chronological":[109],"tuple":[112,144],"three":[114,146],"randomly":[115],"shuffled":[116],"frames":[117,147],"from":[118,197],"cardiac":[120],"ultrasound":[121],"DICOM":[122,126],"file.":[123],"Even":[124],"though":[125],"videos":[127],"have":[128],"no":[129],"semantic":[130],"labels,":[131],"temporal":[135],"dimension":[136],"supervisory":[139],"signal.":[140],"Since":[141],"for":[142,184],"each":[143],"there":[148],"6":[150,167],"possibilities":[151],"arranging":[153],"them,":[154],"sequence":[156],"sorting":[157],"task":[158,165,171],"multi-class":[163],"with":[166],"classes.":[168],"obtained":[173],"92.38%":[174],"operating":[175],"improve":[180],"performance":[183],"employ":[189],"transfer":[190,208,220],"methods":[192],"by":[193],"re-using":[194],"learned":[195],"layers":[196],"task.":[201,238],"As":[202],"result":[204],"knowledge":[207],"process,":[209],"accuracy":[211],"increased":[212],"95.43%.":[214],"This":[215],"way,":[216],"showed":[218],"that":[219],"and":[222],"self-supervision":[223],"hold":[224],"potential":[226],"yield":[228],"significant":[229],"improvements":[230],"process":[234],"target":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}