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Department of Mathematics , Imperial College London , UK
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A novel smooth-to-hard spectral regularizer achieves guaranteed proximal-gradient stationarity and efficient parameter selection for linear inverse problems.
Achieving over 84% accuracy in myocardial infarction localization, MCF-Net revolutionizes echocardiography analysis by fusing motion cues with visual features across multiple views.