Retinal image synthesis from multiple-landmarks input with generative adversarial networks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: BioMedical Engineering OnLine 18 (2019).
- Event
-
Veröffentlichung
- (where)
-
Erlangen
- (who)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (when)
-
2019
- Creator
-
Yu, Zekuan
Xiang, Qing
Meng, Jiahao
Kou, Caixia
Ren, Qiushi
Lu, Yanye
- URN
-
urn:nbn:de:bvb:29-opus4-121466
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yu, Zekuan
- Xiang, Qing
- Meng, Jiahao
- Kou, Caixia
- Ren, Qiushi
- Lu, Yanye
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Time of origin
- 2019
Other Objects (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
Stacked generative adversarial networks for image compositing
Generating mobility networks with generative adversarial networks
Compressing PDF sets using generative adversarial networks
Generative Adversarial Networks for Time Series Simulation
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
Stacked generative adversarial networks for image compositing
Generating mobility networks with generative adversarial networks
Compressing PDF sets using generative adversarial networks
Generative Adversarial Networks for Time Series Simulation
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
Stacked generative adversarial networks for image compositing
Generating mobility networks with generative adversarial networks
Compressing PDF sets using generative adversarial networks