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Technical University of Munich, TUM University Hospital Rechts, Helmholtz Munich, Center for Machine Learning
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Predicting breast cancer treatment response just got a major upgrade, with a new framework that outperforms traditional models by effectively modeling temporal imaging data.
Prediction bias in medical imaging models can be effectively mitigated with a new objective that prevents model collapse during test-time adaptation.
