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Found 2 papers, 2 papers with code
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
We apply estimation of both aleatoric and epistemic uncertainty by variational Bayesian inference with Monte Carlo dropout to regression tasks and show that predictive uncertainty is systematically underestimated.
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
The consideration of predictive uncertainty in medical imaging with deep learning is of utmost importance.
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