You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution

arXiv:2609.36837 · cs.CV, cs.LG, physics.med-ph · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.LG, physics.med-ph

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• Trace — 21× in this paper · explained in 2 episodes
• Consistency — 19× in this paper · explained in 3 episodes
• AUROC — 10× in this paper · explained in 2 episodes
• Hallucination — 4× in this paper · explained in 4 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Anisotropy — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 2× in this paper
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• National Research Platform — 1× in this paper
• U-net architecture — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Synthetic Low-Field MRI Super-Resolution Via Nested U-Net Architecture
• Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems
• ReDiff: Reliability-Guided Diffusion for Trustworthy Ultra-Low-Field to High-Field MRI Synthesis

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models