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Python modules for 4D image processing of optical coherence tomographies.
Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)
Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
Implementation of the non-parametric census transform as PyTorch layer.
Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.
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