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AGH University of Krakow, Sano Centre for Computational Medicine
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A single model can now outperform ensembles in histopathology, achieving scale-invariance while slashing training costs by up to 80%.
Achieving state-of-the-art performance in medical point cloud completion while cutting sampling steps and boosting throughput by up to 7× could revolutionize clinical workflows.