most citedUnconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning

Tobias Wech, Oliver Schad, Simon Sauer +7

A joint image reconstruction and segmentation approach based on disentangled representation learning was trained to enable cardiac cine MR imaging in real-time and under free-breat…

eess.IV2024★ 2 cited

Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data

Salman Ul Hassan Dar, Marvin Seyfarth, Isabelle Ayx +11

AI models present a wide range of applications in the field of medicine. However, achieving optimal performance requires access to extensive healthcare data, which is often not rea…