[{"data":1,"prerenderedAt":112},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-0ead37639fdf5a4cf167fb16-cd8d20f4":3},{"edges":4,"entity":16,"fingerprint":60,"generatedAt":61,"neighbors":62,"schemaVersion":111},[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:0ead37639fdf5a4cf167fb16","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F952103","exact","cordis:952103","edge:project-output:952103:0ead37639fdf5a4cf167fb16","has_observed_output","output:0ead37639fdf5a4cf167fb16",{"attributes":17,"edgeCount":41,"id":15,"indexable":19,"label":42,"links":43,"slug":55,"sourceRefs":56,"type":59},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":40},31,true,"doi_dedup___::aa3ef8ab268ab29621f9c7e1a71a7cd1","publication",[23,26,29,31,34,37],{"scheme":24,"value":25},"arXiv","2209.09809",{"scheme":27,"value":28},"doi","10.3389\u002Ffonc.2022.1044496",{"scheme":27,"value":30},"10.48550\u002Farxiv.2209.09809",{"scheme":32,"value":33},"handle","2445\u002F220766",{"scheme":35,"value":36},"pmc","PMC9899892",{"scheme":38,"value":39},"pmid","36755853","2023-01-23",1,"High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection",[44,48,52],{"kind":45,"label":46,"url":47},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Aaa3ef8ab268ab29621f9c7e1a71a7cd1",{"kind":49,"label":50,"url":51},"persistent_identifier","DOI 10.3389\u002Ffonc.2022.1044496","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffonc.2022.1044496",{"kind":49,"label":53,"url":54},"DOI 10.48550\u002Farxiv.2209.09809","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2209.09809","output-0ead37639fdf5a4cf167fb16-cd8d20f4",[57],{"dataset":7,"field":58,"sourceId":20,"url":47},"openaire_research_product_id","output","sha256:01e4cebcb02af61caaa7e71e30cef111aa1df1cca1ba17cf565ef63e8d4732f2","2026-10-01T04:36:13.695Z",[63],{"attributes":64,"description":95,"edgeCount":96,"id":12,"indexable":19,"label":97,"links":98,"slug":105,"sourceRefs":106,"type":110},{"acronym":65,"code":66,"endDate":67,"frameworkProgramme":68,"funding":69,"knowledgeFlow":74,"research":82,"startDate":94},"EuCanImage","952103","2025-09-30","H2020",{"currency":70,"germanNetEuContributionCents":71,"participantEdgeCount":72,"status":73},"EUR","61420375",3,"linked",{"citingCountryCount":75,"citingInstitutionCount":76,"distinctCitingWorkCount":77,"firstObservedCitationDate":78,"lastObservedCitationDate":79,"observedCitationEdgeCount":80,"status":81},142,8077,9341,"2020-01-01","2026-09-25",9889,"full_input_observation",{"citationDataOutputCount":83,"citedOutputCount":84,"firstPublicationDate":85,"lastPublicationDate":86,"openAccessOutputCount":87,"outputCount":83,"status":73,"totalCitations":88,"typeCounts":89},178,106,"2020-05-07","2026-01-13",169,8123,{"dataset":90,"other":91,"publication":92,"software":93},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",[99,101],{"kind":45,"label":100,"url":10},"CORDIS",{"kind":102,"label":103,"url":104},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=952103","project-cordis-952103-e2d5e99e",[107],{"dataset":108,"field":109,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790829837407]