2 citations · 4 across the 4 of their papers we have counts for
4 papers
CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis
Marvin Seyfarth, Sarah Kaye Müller, Arman Ghanaat +7
Latent diffusion models (LDMs) have recently achieved strong performance in 3D medical image synthesis. However, modalities like cine cardiac MRI (CMR), representing a temporally s…
MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis
Marvin Seyfarth, Salman Ul Hassan Dar, Isabelle Ayx +4
Advancements in AI for medical imaging offer significant potential. However, their applications are constrained by the limited availability of data and the reluctance of medical ce…
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…
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann +4
Generative latent diffusion models have been established as state-of-the-art in data generation. One promising application is generation of realistic synthetic medical imaging data…