6 citations · 7 across the 7 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2024
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier
The segmentation and tracking of living cells play a vital role within the biomedical domain, particularly in cancer research, drug development, and developmental biology. These ar…
eess.IV2023★ 6 cited
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Yuli Wu, Weidong He, Dennis Eschweiler +5
Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to syn…