4 papers
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…
Deformable Image Registration for Self-supervised Cardiac Phase Detection in Multi-View Multi-Disease Cardiac Magnetic Resonance Images
Sven Koehler, Sarah Kaye Mueller, Jonathan Kiekenap +6
Cardiovascular magnetic resonance (CMR) is the gold standard for assessing cardiac function, but individual cardiac cycles complicate automatic temporal comparison or sub-phase ana…
Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers
Malte Tölle, Mohamad Scharaf, Samantha Fischer +7
A patient undergoes multiple examinations in each hospital stay, where each provides different facets of the health status. These assessments include temporal data with varying sam…
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…