Denoising diffusion probabilistic models for 3D medical image generationFiras Khader, Daniel Truhn, Sven Nebelung 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, Jan Niehues 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
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging dataFiras Khader, Daniel Truhn, Jakob Nikolas Kather et al.|Scientific Reports|2023Cited by 49
Diffusion Probabilistic Models beat GANs on Medical ImagesGustav Müller‐Franzes, Daniel Truhn, Jan Niehues et al.|arXiv (Cornell University)|2022Cited by 36