3 papers
cs.CV2026
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…
cs.CV2026
VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers
Marvin Seyfarth, Salman Ul Hassan Dar, Yannik Frisch +4
Diffusion models have become a leading approach for high-fidelity medical image synthesis. However, most existing methods for 3D medical image generation rely on convolutional U-Ne…
eess.IV2025
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…