A single whole-volume latent flow matching model, trained jointly on MRI-to-CT, CBCT-to-CT, and MRI-to-MRI tasks, matches task-specific models and gains zero-shot region generalization plus compositional translation.
Medical Image Analysis92, 103046 (2024)
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Compositional Cross-Modality Translation via Whole-Volume Multitask Latent Flow Matching
A single whole-volume latent flow matching model, trained jointly on MRI-to-CT, CBCT-to-CT, and MRI-to-MRI tasks, matches task-specific models and gains zero-shot region generalization plus compositional translation.