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Fast Cross-Strength Multi-Contrast Brain MRI Translation using Latent Bridge Matching

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Magnetic Resonance Imaging (MRI) acquired at different field strengths exhibits pronounced variation in noise, resolution, homogeneity, and contrast, which limits comparability across acquisition settings and complicates downstream analysis. We address this with a unified conditional model for controllable field-to-field synthesis, built on the framework of conditional latent bridge matching. Our single model achieves highly competitive results across the validation phase for all three tasks of the MRIxFields2026 challenge without task-specific architectures or training. We achieve fast genera

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First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.