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Mr Marvin Seyfarth

Heidelberg (Germany)
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Biography
Marvin Seyfarth completed a master’s degree in physics in September 2024. After graduating, he joined the Institute for Artificial Intelligence in Cardiovascular Medicine at the University Hospital Heidelberg as a researcher. Building on this work, he began his PhD in May 2025 at the same institute. His research centers on generative AI for medical imaging, with particular interest in efficient generative model design and the development of robust evaluation metrics tailored to clinical imaging applications.
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Latent diffusion for single-pass full 4D cine cardiac magnetic resonance imaging synthesis with spatiotemporal autoencoding
Presentation
Latent diffusion for single-pass full 4D cine cardiac magnetic resonance imaging synthesis with spatiotemporal autoencoding
Beyond visual realism: assessing coronary artery dominance diversity in Al-generated synthetic coronary computed tomography angiography images
Presentation
Beyond visual realism: assessing coronary artery dominance diversity in Al-generated synthetic coronary computed tomography angiography images

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