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Achieve ~20% gains on difficult 3D medical image segmentation by explicitly removing noisy activations in U-Net skip connections with a novel proximal-sparse attention mechanism.
Low-dose PET scans get a boost with MAP-Diff, a diffusion model that uses intermediate-dose scans as anchors, leading to sharper, more accurate reconstructions.
