{"id":"https://openalex.org/W4407037522","doi":"https://doi.org/10.3389/frai.2024.1454441","title":"Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities","display_name":"Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities","publication_year":2025,"publication_date":"2025-01-31","ids":{"openalex":"https://openalex.org/W4407037522","doi":"https://doi.org/10.3389/frai.2024.1454441","pmid":"https://pubmed.ncbi.nlm.nih.gov/39959613"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2024.1454441","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1454441","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1454441/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1454441/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116105825","display_name":"Abdullah Hosseini","orcid":"https://orcid.org/0000-0003-2967-3033"},"institutions":[{"id":"https://openalex.org/I4210152471","display_name":"Weill Cornell Medical College in Qatar","ror":"https://ror.org/05v5hg569","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210152471"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Abdullah Hosseini","raw_affiliation_strings":["AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I4210152471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086475627","display_name":"Ahmed Serag","orcid":"https://orcid.org/0000-0002-4145-5509"},"institutions":[{"id":"https://openalex.org/I4210152471","display_name":"Weill Cornell Medical College in Qatar","ror":"https://ror.org/05v5hg569","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210152471"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Ahmed Serag","raw_affiliation_strings":["AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Innovation Lab, Weill Cornell Medicine-Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I4210152471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086475627"],"corresponding_institution_ids":["https://openalex.org/I4210152471"],"apc_list":{"value":2125,"currency":"USD","value_usd":2125},"apc_paid":{"value":2125,"currency":"USD","value_usd":2125},"fwci":7.4295,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.97776884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"1454441","last_page":"1454441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14319999516010284,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14319999516010284,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.13449999690055847,"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/T10862","display_name":"AI in cancer detection","score":0.13369999825954437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6447936296463013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42071348428726196},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40061813592910767},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3650531768798828},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18468093872070312}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6447936296463013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42071348428726196},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40061813592910767},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3650531768798828},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18468093872070312},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2024.1454441","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1454441","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1454441/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:39959613","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39959613","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":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11826350","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11826350","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11826350/pdf/frai-07-1454441.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":"Front Artif Intell","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c2addfde69ab40c4a7b46d0156fdfe84","is_oa":true,"landing_page_url":"https://doaj.org/article/c2addfde69ab40c4a7b46d0156fdfe84","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":"Frontiers in Artificial Intelligence, Vol 7 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2024.1454441","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1454441","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1454441/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332513","display_name":"Weill Cornell Medical College","ror":"https://ror.org/02r109517"},{"id":"https://openalex.org/F4320334416","display_name":"Weill Cornell Medicine - Qatar","ror":"https://ror.org/05v5hg569"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407037522.pdf","grobid_xml":"https://content.openalex.org/works/W4407037522.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W320587423","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2052023322","https://openalex.org/W2062160894","https://openalex.org/W2151608510","https://openalex.org/W2504150216","https://openalex.org/W2748001554","https://openalex.org/W2788633781","https://openalex.org/W2963373786","https://openalex.org/W3036167779","https://openalex.org/W3081752372","https://openalex.org/W3132964805","https://openalex.org/W3162926177","https://openalex.org/W3175737276","https://openalex.org/W3213699910","https://openalex.org/W4238168673","https://openalex.org/W4301206121","https://openalex.org/W4317436377","https://openalex.org/W4362594575","https://openalex.org/W4385481295","https://openalex.org/W4388093101","https://openalex.org/W4390917098","https://openalex.org/W4391555695","https://openalex.org/W4396777688","https://openalex.org/W4401528390","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6666332967","https://openalex.org/W6718379498","https://openalex.org/W6765779288","https://openalex.org/W6778979041","https://openalex.org/W6779823529","https://openalex.org/W6788990321","https://openalex.org/W6795288823","https://openalex.org/W6854691855","https://openalex.org/W6857958404","https://openalex.org/W6862035862","https://openalex.org/W6863327824"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2185469136","https://openalex.org/W2011264131","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4306353150","https://openalex.org/W2026860389"],"abstract_inverted_index":{"Introduction:":[0],"The":[1,105,124],"integration":[2],"of":[3,13,19,55,63,94,107,120,151,172,191],"recent":[4],"technologies":[5],"in":[6,38,204],"medical":[7,57,66,89,95,121,130,183],"imaging":[8,58,96,184],"has":[9],"become":[10],"a":[11,83,113],"cornerstone":[12],"modern":[14],"healthcare,":[15],"facilitating":[16],"detailed":[17],"analysis":[18],"internal":[20],"anatomy":[21],"and":[22,100,136,159,201,208],"pathology.":[23],"Traditional":[24],"methods,":[25],"however,":[26],"often":[27],"grapple":[28],"with":[29,48,82,157],"data-sharing":[30],"restrictions":[31],"due":[32],"to":[33,44,86,116,194],"privacy":[34,202],"concerns.":[35],"Emerging":[36],"techniques":[37],"artificial":[39],"intelligence":[40],"offer":[41],"innovative":[42],"solutions":[43],"overcome":[45],"these":[46],"constraints,":[47],"synthetic":[49,88,108,140,152,179,192],"data":[50,153,193,199],"generation":[51],"enabling":[52],"the":[53,61,118,149,170,189],"creation":[54],"realistic":[56],"datasets,":[59],"but":[60],"preservation":[62,119],"critical":[64],"hidden":[65],"biomarkers":[67],"is":[68,110],"an":[69],"open":[70],"question.":[71],"Methods:":[72],"This":[73,164],"study":[74],"employs":[75],"state-of-the-art":[76],"Denoising":[77],"Diffusion":[78],"Probabilistic":[79],"Models":[80],"integrated":[81],"Swin-transformer-based":[84],"network":[85],"generate":[87],"data.":[90,145],"Three":[91],"distinct":[92],"areas":[93],"-":[97,102],"radiology,":[98],"ophthalmology,":[99],"histopathology":[101],"are":[103],"explored.":[104],"quality":[106],"images":[109,141,180],"evaluated":[111],"through":[112],"classifier":[114],"trained":[115],"identify":[117],"biomarkers.":[122],"Results:":[123],"diffusion":[125],"model":[126],"effectively":[127],"preserves":[128],"key":[129],"features,":[131],"such":[132,197],"as":[133,198],"lung":[134],"markings":[135],"retinal":[137],"abnormalities,":[138],"producing":[139],"closely":[142],"resembling":[143],"real":[144],"Classifier":[146],"performance":[147],"demonstrates":[148],"reliability":[150],"for":[154,175],"downstream":[155],"tasks,":[156],"F1":[158],"AUC":[160],"reaching":[161],"0.8-0.99.":[162],"Discussion:":[163],"work":[165],"provides":[166],"valuable":[167],"insights":[168],"into":[169],"potential":[171,190],"diffusion-based":[173],"models":[174],"generating":[176],"realistic,":[177],"biomarker-preserving":[178],"across":[181],"various":[182],"modalities.":[185],"These":[186],"findings":[187],"highlight":[188],"address":[195],"challenges":[196],"scarcity":[200],"concerns":[203],"clinical":[205],"practice,":[206],"research,":[207],"education.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":8}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}