Retinal image synthesis from multiple-landmarks input with generative adversarial networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: BioMedical Engineering OnLine 18 (2019).
- Ereignis
-
Veröffentlichung
- (wo)
-
Erlangen
- (wer)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2019
- Urheber
-
Yu, Zekuan
Xiang, Qing
Meng, Jiahao
Kou, Caixia
Ren, Qiushi
Lu, Yanye
- URN
-
urn:nbn:de:bvb:29-opus4-121466
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yu, Zekuan
- Xiang, Qing
- Meng, Jiahao
- Kou, Caixia
- Ren, Qiushi
- Lu, Yanye
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2019
Ähnliche Objekte (12)
Retinal image synthesis from multiple-landmarks input with generative adversarial networks
Generative Adversarial Privacy
Generating Input Data for Microstructure Modelling : A Deep Learning Approach Using Generative Adversarial Networks
Invisible steganography via generative adversarial networks
Generative adversarial nets for social scientists
Generative adversarial networks : Project relevant overview
Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior
Generative adversarial networks based skin lesion segmentation
Generating mobility networks with generative adversarial networks
Stacked generative adversarial networks for image compositing
Generative Adversarial Networks for Time Series Simulation
A quantum generative adversarial network for distributions
Retinal image synthesis from multiple-landmarks input with generative adversarial networks
Generative Adversarial Privacy
Generating Input Data for Microstructure Modelling : A Deep Learning Approach Using Generative Adversarial Networks
Invisible steganography via generative adversarial networks
Generative adversarial nets for social scientists
Generative adversarial networks : Project relevant overview
Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior
Generative adversarial networks based skin lesion segmentation
Generating mobility networks with generative adversarial networks
Stacked generative adversarial networks for image compositing
Generative Adversarial Networks for Time Series Simulation
A quantum generative adversarial network for distributions
Retinal image synthesis from multiple-landmarks input with generative adversarial networks
Generative Adversarial Privacy
Generating Input Data for Microstructure Modelling : A Deep Learning Approach Using Generative Adversarial Networks
Invisible steganography via generative adversarial networks
Generative adversarial nets for social scientists
Generative adversarial networks : Project relevant overview
Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior
Generative adversarial networks based skin lesion segmentation
Generating mobility networks with generative adversarial networks
Stacked generative adversarial networks for image compositing
Generative Adversarial Networks for Time Series Simulation