BlindHarmonyDiff converts MR images from unseen scanners to a target scanner style using a 3D edge-to-image rectified flow trained only on target data, plus a refinement step that preserves source structure.
Deep gener- ative medical image harmonization for improving cross-site generalization in deep learning predictors
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Efficient and robust 3D blind harmonization for large domain gaps
BlindHarmonyDiff converts MR images from unseen scanners to a target scanner style using a 3D edge-to-image rectified flow trained only on target data, plus a refinement step that preserves source structure.