Denoising diffusion probabilistic models for 3D medical image generationFiras Khader, Daniel Truhn, Gustav Müller‐Franzes et al.|Scientific Reports|2023Cited by 298
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesisGustav Müller‐Franzes, Daniel Truhn, Sven Nebelung et al.|Scientific Reports|2023Cited by 188
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for TransformersFiras Khader, Daniel Truhn, Gustav Müller‐Franzes et al.|Radiology|2023Cited by 89
Encrypted federated learning for secure decentralized collaboration in cancer image analysisDaniel Truhn, Jakob Nikolas Kather, Soroosh Tayebi Arasteh et al.|Medical Image Analysis|2023Cited by 81
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic ImagesGustav Müller‐Franzes, Daniel Truhn, Luisa Huck et al.|Radiology|2023Cited by 67