215 citations
- RWTH Aachen UniversityDE16 papers
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- Else Kröner Fresenius Center for Digital HealthDE5 papers
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eess.IV2022★ 215 cited
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader +8
The success of Deep Learning applications critically depends on the quality and scale of the underlying training data. Generative adversarial networks (GANs) can generate arbitrary…
cs.LG2022★ 28 cited
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn +6
Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training…
cs.CV2022★ 77 cited
What Does DALL-E 2 Know About Radiology?
Lisa C. Adams, Felix Busch, Daniel Truhn +3
Generative models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation for artificial intelligence research in radiology pr…