Record link: 
http://hdl.handle.net/20.500.12708/202187
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Title: 
Exploring Drusen Type and Appearance using Interpretable GANs
en
Citation: 
Muth, C., Morelle, O., Raidou, R. G., Wintergerst, M. W. M., Finger, R. P., & Schultz, T. (2024). Exploring Drusen Type and Appearance using Interpretable GANs. In VCBM 2024: Eurographics Workshop on Visual Computing for Biology and Medicine. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2024), Germany. https://doi.org/10.2312/vcbm.20241187
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Publisher DOI: 
10.2312/vcbm.20241187
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Muth, Christian 
Morelle, Olivier 
Raidou, Renata Georgia 
Wintergerst, Maximilian W.M. 
Finger, Robert P 
Schultz, Thomas 
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Organisational Unit: 
E193-02 - Forschungsbereich Computer Graphics 
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Published in: 
VCBM 2024: Eurographics Workshop on Visual Computing for Biology and Medicine 
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Date (published): 
2024
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Event name: 
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2024) 
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Event date: 
19-Sep-2024 - 20-Sep-2024
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Event place: 
Germany
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Peer reviewed: 
Yes
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Keywords: 
Image Processing; Machine Learning; Ophthalmology
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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