Denoising diffusion probabilistic models for 3D medical image generationFiras Khader, Daniel Truhn, Gustav Müller‐Franzes et al.|Scientific Reports|2023Cited by 298
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric studySophia J. Wagner, Campbell S.D. Roxburgh, Josien C.A. Jenniskens et al.|Cancer Cell|2023Cited by 246
An overview and a roadmap for artificial intelligence in hematology and oncologyWiebke Rösler, Jakob Nikolas Kather, Michael Altenbuchinger et al.|Journal of Cancer Research and Clinical Oncology|2023Cited by 84
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
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationFiras Khader, Daniel Truhn, Gustav Mueller-Franzes et al.|arXiv (Cornell University)|2022Cited by 22