Marvin Seyfarth
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Research Notes

Accessible, technically grounded articles on medical generative modelling and evaluation.

Explanations and practical perspectives on generative medical imaging, from the underlying methods to their evaluation.

A real axial head CT at five diffusion timesteps from clean image to Gaussian noise, with arrows identifying forward noising and idealized reverse sampling.

Diffusion Models for Medical Image Synthesis: From Noise to Anatomy
medical-imaging
generative-models
diffusion-models

A foundations-focused explanation of why denoising, conditioning, latent spaces, and evaluation matter for synthetic medical images.

Marvin Seyfarth
Jul 27, 2026
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