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Ditch the RNNs and attention: PFGNet's frequency-guided gating achieves SOTA spatiotemporal prediction with a fully convolutional architecture, slashing parameters and FLOPs.
Diffusion models can learn surprisingly generalizable anatomical representations from unlabeled MRI data, enabling accurate multi-task diagnosis and segmentation across different joints and imaging conditions, even with limited labeled data.
