ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

arXiv:2605.24625 · cs.CV · Submitted 2026-05-23 · Read on arXiv

cs.CV

Submitted: 2026-05-23

Updated: 2026-09-21

Code: https://github.com/toufiqmusah/ULF-Synth

Terminology

• Consistency — 7× in this paper · explained in 3 episodes
• nnU-Net — 7× in this paper · explained in 2 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Average Symmetric Surface Distance — 1× in this paper
• Dice Similarity Coefficient — 1× in this paper
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Relative Volume Error — 1× in this paper

Sources

• MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI
• GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI

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