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eeulig/README.md

Hi there I'm Elias

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Publications CV

I am currently a PhD Student in the X-Ray Imaging and Computed Tomography group at the German Cancer Research Center (DKFZ) in Heidelberg working on explainable and robust DNNs for medical image formation.

Previously, I worked as an Applied Scientist Intern at Amazon Web Services (AWS), as a Research Intern at the Bosch Center for Artificial Intelligence (BCAI), as a Visiting Research Student at the Wang Lab at Stanford University, and as a Student Researcher at the MPI for Brain Research and the DKFZ.

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  1. ldct-benchmark Public

    A benchmark for deep learning-based low dose CT image denoising

    Python 24 5

  2. diagvib-6 Public

    Forked from boschresearch/diagvib-6

    Python

  3. Beautiful-PointByPoint-Latex Public

    A package and template for writing beautiful and nicely structured point-by-point responses in LaTeX

    TeX

  4. dag-falsification Public

    Code for the paper: Toward Falsifying Causal Graphs Using a Permutation-Based Test

    Jupyter Notebook

  5. ldct-invariances Public

    Code for our paper on reconstructing invariances of Low-Dose CT Denoising Networks

    Python 1

132 contributions in the last year

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Contribution activity

April 2025

Created 3 commits in 2 repositories
Opened 1 pull request in 1 repository
eeulig/ldct-benchmark 1 merged
3 contributions in private repositories Apr 12
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