{"id":"https://openalex.org/W6944672428","doi":"https://doi.org/10.21227/kpkn-0j05","title":"Dataset_for_review","display_name":"Dataset_for_review","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W6944672428","doi":"https://doi.org/10.21227/kpkn-0j05"},"language":"en","primary_location":{"id":"doi:10.21227/kpkn-0j05","is_oa":true,"landing_page_url":"https://doi.org/10.21227/kpkn-0j05","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/kpkn-0j05","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rakhmetulayeva, Sabina","orcid":null},"institutions":[{"id":"https://openalex.org/I3130577743","display_name":"Narxoz University","ror":"https://ror.org/0523w7v09","country_code":"KZ","type":"education","lineage":["https://openalex.org/I3130577743"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Rakhmetulayeva, Sabina","raw_affiliation_strings":["Narxoz University"],"affiliations":[{"raw_affiliation_string":"Narxoz University","institution_ids":["https://openalex.org/I3130577743"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhanabekov, Zhandos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhanabekov, Zhandos","raw_affiliation_strings":["IITU"],"affiliations":[{"raw_affiliation_string":"IITU","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3130577743"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5622000098228455},{"id":"https://openalex.org/keywords/soundness","display_name":"Soundness","score":0.5263000130653381},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5128999948501587},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4410000145435333},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.429500013589859},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.42559999227523804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4106999933719635},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.3497999906539917}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5976999998092651},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5115000009536743},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.429500013589859},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.3497999906539917},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32600000500679016},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3244999945163727},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26669999957084656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/kpkn-0j05","is_oa":true,"landing_page_url":"https://doi.org/10.21227/kpkn-0j05","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/kpkn-0j05","is_oa":true,"landing_page_url":"https://doi.org/10.21227/kpkn-0j05","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"in":[3,90],"the":[4,17,69,75,81],"medical":[5,72],"domain":[6],"faces":[7],"challenges":[8],"due":[9],"to":[10,86],"limited":[11],"high-quality":[12],"data.":[13],"This":[14,78],"study":[15,63],"addresses":[16],"scarcity":[18],"of":[19,74,83],"echocardiography":[20],"images":[21],"(echoCG)":[22],"by":[23],"generating":[24],"synthetic":[25,84],"data":[26,85],"using":[27],"state-of-the-art":[28],"generative":[29,35],"models.":[30],"We":[31],"evaluated":[32],"a":[33,61],"cycle-consistent":[34],"adversarial":[36],"network":[37],"(CycleGAN),":[38],"contrastive":[39],"unpaired":[40],"translation":[41],"(CUT)":[42],"method,":[43],"and":[44,55,66,71,95],"latent":[45],"diffusion":[46],"model":[47],"(Stable":[48],"Diffusion":[49],"1.5).":[50],"Our":[51],"methodology,":[52],"image":[53],"samples,":[54],"evaluation":[56],"strategy":[57],"are":[58],"detailed,":[59],"including":[60],"user":[62],"with":[64],"cardiologists":[65],"surgeons":[67],"assessing":[68],"quality":[70],"soundness":[73],"generated":[76],"samples.":[77],"research":[79],"highlights":[80],"potential":[82],"improve":[87],"ML":[88],"applications":[89],"healthcare,":[91],"enhancing":[92],"diagnostic":[93],"accuracy":[94],"patient":[96],"outcomes.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}