TeNCA, a temporal neural cellular automata trained with adaptive losses at irregularly spaced time points, produces synthetic post-contrast breast MRI images that match ground truth more closely than U-Net and latent diffusion baselines.
In: International Conference on In- formation Processing in Medical Imaging
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Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
TeNCA, a temporal neural cellular automata trained with adaptive losses at irregularly spaced time points, produces synthetic post-contrast breast MRI images that match ground truth more closely than U-Net and latent diffusion baselines.