[{"data":1,"prerenderedAt":89},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-2f67baa3055512bdfc2ab361-eca600c9":3},{"edges":4,"entity":16,"fingerprint":44,"generatedAt":45,"neighbors":46,"schemaVersion":88},[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:2f67baa3055512bdfc2ab361","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F952103","exact","cordis:952103","edge:project-output:952103:2f67baa3055512bdfc2ab361","has_observed_output","output:2f67baa3055512bdfc2ab361",{"attributes":17,"edgeCount":27,"id":15,"indexable":28,"label":29,"links":30,"slug":39,"sourceRefs":40,"type":43},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":26},0,false,"doi_dedup___::33536b96667d45aea99709af7bd35c99","publication",[23],{"scheme":24,"value":25},"doi","10.26044\u002Fecr2023\u002Fc-24413","2023-01-01",1,true,"Synthetic data for privacy-preserving deep-learning in mammography",[31,35],{"kind":32,"label":33,"url":34},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A33536b96667d45aea99709af7bd35c99",{"kind":36,"label":37,"url":38},"persistent_identifier","DOI 10.26044\u002Fecr2023\u002Fc-24413","https:\u002F\u002Fdoi.org\u002F10.26044\u002Fecr2023\u002Fc-24413","output-2f67baa3055512bdfc2ab361-eca600c9",[41],{"dataset":7,"field":42,"sourceId":20,"url":34},"openaire_research_product_id","output","sha256:77446a782ecedf072ca0e0d07a950151675f86325c73f03bcb1d762c94befa49","2026-09-26T08:35:38.651Z",[47],{"attributes":48,"description":72,"edgeCount":73,"id":12,"indexable":28,"label":74,"links":75,"slug":82,"sourceRefs":83,"type":87},{"acronym":49,"code":50,"endDate":51,"frameworkProgramme":52,"funding":53,"knowledgeFlow":58,"research":59,"startDate":71},"EuCanImage","952103","2025-09-30","H2020",{"currency":54,"germanNetEuContributionCents":55,"participantEdgeCount":56,"status":57},"EUR","61420375",3,"linked",null,{"citationDataOutputCount":60,"citedOutputCount":61,"firstPublicationDate":62,"lastPublicationDate":63,"openAccessOutputCount":64,"outputCount":60,"status":57,"totalCitations":65,"typeCounts":66},178,106,"2020-05-07","2026-01-13",169,8123,{"dataset":67,"other":68,"publication":69,"software":70},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",[76,78],{"kind":32,"label":77,"url":10},"CORDIS",{"kind":79,"label":80,"url":81},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=952103","project-cordis-952103-e2d5e99e",[84],{"dataset":85,"field":86,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790412361199]