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.
Ad- vances in neural information processing systems30 (2017)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.