{"id":"https://openalex.org/W4405489588","doi":"https://doi.org/10.1109/embc53108.2024.10781712","title":"Generating Realistic Cardiac MR Images Using Diffusion Models","display_name":"Generating Realistic Cardiac MR Images Using Diffusion Models","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489588","doi":"https://doi.org/10.1109/embc53108.2024.10781712","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039694"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5115513478","display_name":"Javier Urcia-V\u00e1zquez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Urcia-V\u00e1zquez","raw_affiliation_strings":["Universitat Polit&#x00E8;cnica de Val&#x00E8;ncia,Valencia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Polit&#x00E8;cnica de Val&#x00E8;ncia,Valencia,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061594937","display_name":"Manuel P\u00e9rez-Pelegr\u00ed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manuel P\u00e9rez-Pelegr\u00ed","raw_affiliation_strings":["Lincbiotech, S.L.,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lincbiotech, S.L.,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102903018","display_name":"Jos\u00e9 V. Monmeneu","orcid":"https://orcid.org/0000-0002-5547-2828"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Vicente Monmeneu","raw_affiliation_strings":["ASCIRES Biomedical Group,Valencia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASCIRES Biomedical Group,Valencia,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052220497","display_name":"Mar\u00eda P. L\u00f3pez\u2010Lereu","orcid":"https://orcid.org/0000-0002-5485-1869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mar\u00eda Pilar L\u00f3pez-Lereu","raw_affiliation_strings":["ASCIRES Biomedical Group,Valencia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASCIRES Biomedical Group,Valencia,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071435379","display_name":"Jos\u00e9 Manuel Santab\u00e1rbara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Manuel Santab\u00e1rbara","raw_affiliation_strings":["ASCIRES Biomedical Group,Valencia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASCIRES Biomedical Group,Valencia,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073327128","display_name":"Alicia M. Maceira","orcid":"https://orcid.org/0000-0001-5486-4232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alicia M. Maceira","raw_affiliation_strings":["ASCIRES Biomedical Group,Valencia,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASCIRES Biomedical Group,Valencia,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039695934","display_name":"David Moratal","orcid":"https://orcid.org/0000-0002-2825-3646"},"institutions":[{"id":"https://openalex.org/I4210095014","display_name":"Centro de Investigaci\u00f3n en Red en Enfermedades Cardiovasculares","ror":"https://ror.org/00s29fn93","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210095014"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Moratal","raw_affiliation_strings":["Centro de Investigaci&#x00F3;n Biom&#x00E9;dica en Red - Cardiovascular (CIBER-CV),Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci&#x00F3;n Biom&#x00E9;dica en Red - Cardiovascular (CIBER-CV),Madrid,Spain","institution_ids":["https://openalex.org/I4210095014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3442,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66558731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.6521937847137451},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5588576793670654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5117130279541016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4618723690509796},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.41454747319221497},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.33854275941848755},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3243217468261719},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.20679953694343567},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17168021202087402},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15848594903945923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521937847137451},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5588576793670654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5117130279541016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4618723690509796},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.41454747319221497},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.33854275941848755},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3243217468261719},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20679953694343567},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17168021202087402},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15848594903945923},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"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":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039694","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039694","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321864","display_name":"Generalitat Valenciana","ror":"https://ror.org/0097mvx21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2963901018","https://openalex.org/W3036167779","https://openalex.org/W3044753181","https://openalex.org/W3146366485","https://openalex.org/W3161335554","https://openalex.org/W3180355996","https://openalex.org/W4213270332","https://openalex.org/W4294975599","https://openalex.org/W4298289240","https://openalex.org/W4308610041","https://openalex.org/W4377695098","https://openalex.org/W4385436554","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6779823529","https://openalex.org/W6846418509","https://openalex.org/W6855472053"],"related_works":["https://openalex.org/W1768769760","https://openalex.org/W2413360119","https://openalex.org/W1576270090","https://openalex.org/W2257755506","https://openalex.org/W2356293051","https://openalex.org/W2131307089","https://openalex.org/W2157123855","https://openalex.org/W3021493803","https://openalex.org/W57104752","https://openalex.org/W2011111248"],"abstract_inverted_index":{"The":[0,97,151],"number":[1],"of":[2,28,51,58,64,130,161,184],"studies":[3],"in":[4,19,110,143],"the":[5,20,25,76,85,118,124,128,136,167,172,179],"medical":[6,32,147],"field":[7],"that":[8,117],"uses":[9],"machine":[10],"learning":[11,14,30],"and":[12,56,62,113,182],"deep":[13,29],"techniques":[15],"has":[16,100,138],"been":[17,101],"increasing":[18],"last":[21],"years.":[22],"To":[23,68],"harness":[24],"full":[26],"potential":[27,141],"for":[31,38,66,146],"imaging,":[33],"large":[34,159],"datasets":[35,41,145],"are":[36,42,175],"required":[37],"training.":[39],"These":[40],"difficult":[43,132],"to":[44,47,74,88,103,127,133,157],"obtain":[45],"due":[46],"privacy":[48],"concerns,":[49],"underrepresentation":[50],"rare":[52],"diseases,":[53],"poor":[54],"standardization,":[55],"lack":[57],"diagnostic":[59],"label":[60],"quality":[61],"availability":[63],"experts":[65],"annotation.":[67],"solve":[69],"this":[70],"problem,":[71],"we":[72],"aim":[73],"explore":[75],"models":[77],"offered":[78],"by":[79,171],"MONAI":[80],"Generative":[81],"Models,":[82,87],"focusing":[83],"on":[84],"Diffusion":[86],"generate":[89,104,158],"realistic":[90,106],"synthetic":[91,120,162,168],"cardiac":[92,107,163,186],"magnetic":[93],"resonance":[94],"(MR)":[95],"images.":[96,165,188],"model":[98,174],"used":[99],"able":[102],"very":[105],"MR":[108,164,187],"images":[109,121,169],"a":[111,155],"fast":[112],"easy-to-implement":[114],"way.":[115],"Given":[116],"obtained":[119,170],"closely":[122],"resemble":[123],"real":[125,185],"one":[126],"extent":[129],"being":[131],"distinguish":[134],"them,":[135],"study":[137],"shown":[139],"its":[140],"utility":[142],"augmenting":[144],"imaging":[148],"purposes.Clinical":[149],"Relevance-":[150],"current":[152],"work":[153],"presents":[154],"framework":[156],"amounts":[160],"Furthermore,":[166],"trained":[173],"extremely":[176],"realistic,":[177],"maintaining":[178],"same":[180],"details":[181],"characteristics":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
