{"id":"https://openalex.org/W4387902895","doi":"https://doi.org/10.3390/s23218691","title":"A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging","display_name":"A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4387902895","doi":"https://doi.org/10.3390/s23218691","pmid":"https://pubmed.ncbi.nlm.nih.gov/37960391"},"language":"en","primary_location":{"id":"doi:10.3390/s23218691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218691","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8691/pdf?version=1698159202","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/21/8691/pdf?version=1698159202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070163463","display_name":"Maroua Mehri","orcid":"https://orcid.org/0000-0002-4763-8584"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Maroua Mehri","raw_affiliation_strings":["Ecole Nationale d\u2019Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Universit\u00e9 de Sousse, 4023 Sousse, Tunisia","Epsidy, 54000 Nancy, France"],"raw_orcid":"https://orcid.org/0000-0002-4763-8584","affiliations":[{"raw_affiliation_string":"Ecole Nationale d\u2019Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Universit\u00e9 de Sousse, 4023 Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]},{"raw_affiliation_string":"Epsidy, 54000 Nancy, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004802588","display_name":"Guillaume Calmon","orcid":"https://orcid.org/0000-0001-9822-9441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guillaume Calmon","raw_affiliation_strings":["Epsidy, 54000 Nancy, France"],"raw_orcid":"https://orcid.org/0000-0001-9822-9441","affiliations":[{"raw_affiliation_string":"Epsidy, 54000 Nancy, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014561683","display_name":"Freddy Odille","orcid":"https://orcid.org/0000-0001-5260-8905"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210116041","display_name":"Imagerie Adaptative Diagnostique et Interventionnelle","ror":"https://ror.org/025mhc977","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210100260","https://openalex.org/I4210110412","https://openalex.org/I4210116041","https://openalex.org/I4210139971","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Freddy Odille","raw_affiliation_strings":["CIC-IT 1433, Inserm, CHRU de Nancy, Universit\u00e9 de Lorraine, 54000 Nancy, France","Epsidy, 54000 Nancy, France","IADI-Imagerie Adaptative Diagnostique et Interventionnelle, Inserm U1254, Universit\u00e9 de Lorraine, 54000 Nancy, France"],"raw_orcid":"https://orcid.org/0000-0001-5260-8905","affiliations":[{"raw_affiliation_string":"CIC-IT 1433, Inserm, CHRU de Nancy, Universit\u00e9 de Lorraine, 54000 Nancy, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I90183372"]},{"raw_affiliation_string":"Epsidy, 54000 Nancy, France","institution_ids":[]},{"raw_affiliation_string":"IADI-Imagerie Adaptative Diagnostique et Interventionnelle, Inserm U1254, Universit\u00e9 de Lorraine, 54000 Nancy, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210116041","https://openalex.org/I90183372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064479140","display_name":"Julien Oster","orcid":"https://orcid.org/0000-0001-6090-0834"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210116041","display_name":"Imagerie Adaptative Diagnostique et Interventionnelle","ror":"https://ror.org/025mhc977","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210100260","https://openalex.org/I4210110412","https://openalex.org/I4210116041","https://openalex.org/I4210139971","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Oster","raw_affiliation_strings":["CIC-IT 1433, Inserm, CHRU de Nancy, Universit\u00e9 de Lorraine, 54000 Nancy, France","IADI-Imagerie Adaptative Diagnostique et Interventionnelle, Inserm U1254, Universit\u00e9 de Lorraine, 54000 Nancy, France"],"raw_orcid":"https://orcid.org/0000-0001-6090-0834","affiliations":[{"raw_affiliation_string":"CIC-IT 1433, Inserm, CHRU de Nancy, Universit\u00e9 de Lorraine, 54000 Nancy, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I90183372"]},{"raw_affiliation_string":"IADI-Imagerie Adaptative Diagnostique et Interventionnelle, Inserm U1254, Universit\u00e9 de Lorraine, 54000 Nancy, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210116041","https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014239609","display_name":"Alain Lalande","orcid":"https://orcid.org/0000-0002-7970-366X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]},{"id":"https://openalex.org/I4210142595","display_name":"Maison des Sciences sociales et des Humanit\u00e9s de Dijon","ror":"https://ror.org/04ejcwb57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142595","https://openalex.org/I4210150854","https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Lalande","raw_affiliation_strings":["Department of Medical Imaging, University Hospital of Dijon, 21079 Dijon, France","ICMUB Laboratory, CNRS 6302, University of Burgundy, 21000 Dijon, France"],"raw_orcid":"https://orcid.org/0000-0002-7970-366X","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, University Hospital of Dijon, 21079 Dijon, France","institution_ids":["https://openalex.org/I4210142595"]},{"raw_affiliation_string":"ICMUB Laboratory, CNRS 6302, University of Burgundy, 21000 Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I177064439"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5014561683"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210116041","https://openalex.org/I90183372"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5369,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69456644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"21","first_page":"8691","last_page":"8691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.6621055006980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5943179130554199},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5514050722122192},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5263465642929077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45415228605270386},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45302316546440125},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43693313002586365},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.4346478283405304},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance-imaging","display_name":"Cardiac magnetic resonance imaging","score":0.4127610921859741},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.39166608452796936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3906036615371704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3903169631958008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3345947563648224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3218916058540344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13141250610351562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12220489978790283},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09083884954452515},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.07507383823394775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621055006980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5943179130554199},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5514050722122192},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5263465642929077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45415228605270386},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45302316546440125},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43693313002586365},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.4346478283405304},{"id":"https://openalex.org/C2776008845","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance imaging","level":3,"score":0.4127610921859741},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.39166608452796936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3906036615371704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3903169631958008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3345947563648224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3218916058540344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13141250610351562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12220489978790283},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09083884954452515},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.07507383823394775},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23218691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218691","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8691/pdf?version=1698159202","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37960391","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37960391","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10649946","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10649946","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10649946/pdf/sensors-23-08691.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:HAL:hal-05625025v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05625025","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, 2023, 23 (21), pp.8691. ⟨10.3390/s23218691⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:fb70029cf0de42aeba31c4065a7f2b9b","is_oa":true,"landing_page_url":"https://doaj.org/article/fb70029cf0de42aeba31c4065a7f2b9b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 21, p 8691 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23218691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23218691","pdf_url":"https://www.mdpi.com/1424-8220/23/21/8691/pdf?version=1698159202","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G909173884","display_name":null,"funder_award_id":"0187793/00","funder_id":"https://openalex.org/F4320316512","funder_display_name":"Bpifrance"}],"funders":[{"id":"https://openalex.org/F4320316512","display_name":"Bpifrance","ror":"https://ror.org/008zkt807"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387902895.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1936273765","https://openalex.org/W1980486993","https://openalex.org/W2045486379","https://openalex.org/W2079018023","https://openalex.org/W2109722856","https://openalex.org/W2158177717","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2606820947","https://openalex.org/W2794551875","https://openalex.org/W2800952622","https://openalex.org/W2810632432","https://openalex.org/W2884746194","https://openalex.org/W2943118732","https://openalex.org/W2951289968","https://openalex.org/W2962993278","https://openalex.org/W2993587506","https://openalex.org/W3008872739","https://openalex.org/W3015418729","https://openalex.org/W3033523981","https://openalex.org/W3034865046","https://openalex.org/W3046296398","https://openalex.org/W3082828045","https://openalex.org/W3119282903","https://openalex.org/W3120627055","https://openalex.org/W3164581645","https://openalex.org/W3171411730","https://openalex.org/W3181655313","https://openalex.org/W3197483693","https://openalex.org/W4223909096","https://openalex.org/W4224993403","https://openalex.org/W4226376297","https://openalex.org/W4283786338","https://openalex.org/W4285244517","https://openalex.org/W4290999030","https://openalex.org/W4291000168","https://openalex.org/W4293762926","https://openalex.org/W4304197317","https://openalex.org/W4308020645","https://openalex.org/W4321377237","https://openalex.org/W4360860566","https://openalex.org/W4362589781","https://openalex.org/W4378983051","https://openalex.org/W4390447003","https://openalex.org/W4401569107","https://openalex.org/W6810346347"],"related_works":["https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2995553446","https://openalex.org/W2120455979","https://openalex.org/W4200527723","https://openalex.org/W4212918957"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"(DL)":[3],"models":[4],"have":[5],"been":[6],"increasingly":[7],"adopted":[8],"for":[9,34,183],"automatic":[10],"analyses":[11,185],"of":[12,23,86,103,126,159,215],"medical":[13],"data,":[14,135,201],"including":[15],"electrocardiograms":[16],"(ECGs).":[17],"Large,":[18],"available":[19,71],"ECG":[20,39,72,184],"datasets,":[21],"generally":[22],"high":[24],"quality,":[25],"often":[26],"lack":[27],"specific":[28],"distortions,":[29],"which":[30],"could":[31,41],"be":[32],"helpful":[33],"enhancing":[35],"DL-based":[36,88,128,161,181],"algorithms.":[37],"Synthetic":[38],"datasets":[40],"overcome":[42,211],"this":[43],"limitation.":[44],"A":[45],"generative":[46],"adversarial":[47],"network":[48],"(GAN)":[49],"was":[50,136,144],"used":[51,98,121],"to":[52,70,74,99,117,176,198,206],"synthesize":[53,199],"realistic":[54],"3D":[55],"magnetohydrodynamic":[56],"(MHD)":[57],"distortion":[58],"templates,":[59],"as":[60,81,83,122,202,204],"observed":[61],"during":[62],"magnetic":[63],"resonance":[64],"imaging":[65],"(MRI),":[66],"and":[67,93,173],"then":[68],"added":[69],"recordings":[73],"produce":[75],"an":[76],"augmented":[77,149],"dataset.":[78],"Similarity":[79],"metrics,":[80],"well":[82,203],"the":[84,101,104,112,118,157,212],"accuracy":[85,158],"a":[87,127,160,165,171,196],"R-peak":[89,129,162],"detector":[90],"trained":[91,147],"with":[92,148,164],"without":[94],"data":[95,140,216],"augmentation,":[96],"were":[97,115],"evaluate":[100,207],"effectiveness":[102],"synthesized":[105,152],"data.":[106,150,180],"Three-dimensional":[107],"MHD":[108],"distortions":[109],"produced":[110],"by":[111,139],"proposed":[113],"GAN":[114,197],"similar":[116],"measured":[119],"ones":[120],"input.":[123],"The":[124],"precision":[125],"detector,":[130,163],"tested":[131],"on":[132],"actual":[133],"unseen":[134],"significantly":[137,155],"enhanced":[138],"augmentation;":[141],"its":[142,208],"recall":[143],"higher":[145],"when":[146],"Using":[151,195],"MHD-distorted":[153],"ECGs":[154],"improves":[156],"good":[166],"generalization":[167],"capacity.":[168],"This":[169],"provides":[170],"simple":[172],"effective":[174],"alternative":[175],"collecting":[177],"new":[178,200],"patient":[179],"algorithms":[182],"can":[186,210],"suffer":[187],"from":[188],"bias":[189],"or":[190],"gaps":[191],"in":[192],"training":[193],"datasets.":[194],"metrics":[205],"performance,":[209],"scarcity":[213],"issue":[214],"availability.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}