Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion models

dc.contributor.author	Ilanchezian, Indu
dc.contributor.author	Boreiko, Valentyn
dc.contributor.author	Kühlewein, Laura
dc.contributor.author	Hein, Matthias
dc.contributor.author	Koch, Lisa M.
dc.contributor.author	Berens, Philipp
dc.date.accessioned	2025-09-12T08:08:03Z
dc.date.available	2025-09-12T08:08:03Z
dc.date.issued	2025-05-15
dc.identifier.uri	http://hdl.handle.net/10900/170204
dc.language.iso	en	de_DE
dc.relation.uri	https://doi.org/10.1371/journal.pdig.0000853	de_DE
dc.subject.ddc	004	de_DE
dc.title	Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion models	de_DE
dc.type	Article	de_DE
utue.personen.roh	Ilanchezian, Indu
utue.personen.roh	Boreiko, Valentyn
utue.personen.roh	Kühlewein, Laura
utue.personen.roh	Huang, Ziwei
utue.personen.roh	Ayhan, Murat Seçkin
utue.personen.roh	Hein, Matthias
utue.personen.roh	Koch, Lisa
utue.personen.roh	Berens, Philipp
dcterms.isPartOf.ZSTitelID	PLOS Digit Health	de_DE

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