[{"data":1,"prerenderedAt":97},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-af041335e808387021be331c-1a9d4c7e":3},{"edges":4,"entity":16,"fingerprint":52,"generatedAt":53,"neighbors":54,"schemaVersion":96},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","952103:output:af041335e808387021be331c","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F952103","exact","cordis:952103","edge:project-output:952103:af041335e808387021be331c","has_observed_output","output:af041335e808387021be331c",{"attributes":17,"edgeCount":36,"id":15,"indexable":19,"label":37,"links":38,"slug":47,"sourceRefs":48,"type":51},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":35},100,true,"doi_dedup___::4c383476c1534059e2ce8d6dd13d3805","publication",[23,26,29,32],{"scheme":24,"value":25},"doi","10.1038\u002Fs41598-022-07186-4",{"scheme":27,"value":28},"handle","2445\u002F194381",{"scheme":30,"value":31},"pmc","PMC8894335",{"scheme":33,"value":34},"pmid","35241683","2022-03-03",1,"Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease",[39,43],{"kind":40,"label":41,"url":42},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A4c383476c1534059e2ce8d6dd13d3805",{"kind":44,"label":45,"url":46},"persistent_identifier","DOI 10.1038\u002Fs41598-022-07186-4","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-022-07186-4","output-af041335e808387021be331c-1a9d4c7e",[49],{"dataset":7,"field":50,"sourceId":20,"url":42},"openaire_research_product_id","output","sha256:946e23eb7163adfb69c15897e68fb61803ede988fe5731e0fb75676d81662e73","2026-09-26T08:35:38.651Z",[55],{"attributes":56,"description":80,"edgeCount":81,"id":12,"indexable":19,"label":82,"links":83,"slug":90,"sourceRefs":91,"type":95},{"acronym":57,"code":58,"endDate":59,"frameworkProgramme":60,"funding":61,"knowledgeFlow":66,"research":67,"startDate":79},"EuCanImage","952103","2025-09-30","H2020",{"currency":62,"germanNetEuContributionCents":63,"participantEdgeCount":64,"status":65},"EUR","61420375",3,"linked",null,{"citationDataOutputCount":68,"citedOutputCount":69,"firstPublicationDate":70,"lastPublicationDate":71,"openAccessOutputCount":72,"outputCount":68,"status":65,"totalCitations":73,"typeCounts":74},178,106,"2020-05-07","2026-01-13",169,8123,{"dataset":75,"other":76,"publication":77,"software":78},2,5,159,12,"2020-10-01","A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology",122,"EuCanImage · A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology",[84,86],{"kind":40,"label":85,"url":10},"CORDIS",{"kind":87,"label":88,"url":89},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=952103","project-cordis-952103-e2d5e99e",[92],{"dataset":93,"field":94,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790412350377]