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  1. Python modules for 4D image processing of optical coherence tomographies.

    Python 15

  2. Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)

    Jupyter Notebook 11 2

  3. Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.

    Jupyter Notebook 4

  4. Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".

    Jupyter Notebook 3 1

  5. On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior

    Jupyter Notebook 2 2

  6. Implementation of the non-parametric census transform as PyTorch layer.

    Jupyter Notebook 1

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October 2020

mlaves has no activity yet for this period.

September 2020

Created a pull request in mlresearch/v121 that received 1 comment

Update 2020-09-21-laves20a.md

Added correct umlaut to one of the authors.

+2 −2 1 comment

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