AI RESEARCH
Synthetic Cardiac MRI Image Generation using Deep Generative Models
arXiv CS.LG
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ArXi:2603.24764v1 Announce Type: cross Synthetic cardiac MRI (CMRI) generation has emerged as a promising strategy to overcome the scarcity of annotated medical imaging data. Recent advances in GANs, VAEs, diffusion probabilistic models, and flow-matching techniques aim to generate anatomically accurate images while addressing challenges such as limited labeled datasets, vendor variability, and risks of privacy leakage through model memorization.