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Teaching my computer new tricks.
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Teaching my computer new tricks.
99 followers · 301 following

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Achievement: QuickdrawAchievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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@delira-dev @PhoenixDL

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mibaumgartner/README.md

Welcome, my name is Michael and I am currently a Ph.D. student 🎓 in the Medical Image Computing Group (MIC) 🔭 at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. My current work is focussed around object detection (nnDetection🫀🧠🫁), instance segmentation and panoptic segmentation in radiological images but I'm always looking for new projects to experiment with and learn from them. I have worked on several challenges and hackathons in the past and enjoy contributing to open source projects 👨‍💻 (MONAI as Co-Chair of the Research Working Group, Rising, Delira).

Please refer to my website for more information ➡️ 🖥️ 🌐

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  1. MIC-DKFZ/nnDetection Public

    nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …

    Python 573 105

  2. PhoenixDL/rising Public archive

    Provides everything needed for high performance data loading and augmentation in pytorch.

    Jupyter Notebook 319 28

  3. delira-dev/delira Public archive

    Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

    Python 220 26

  4. MONAI Public

    Forked from Project-MONAI/MONAI

    AI Toolkit for Healthcare Imaging

    Python 1

143 contributions in the last year

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Activity overview

Contributed to MIC-DKFZ/batchgeneratorsv2, MIC-DKFZ/nnDetection, mibaumgartner/DeepLungSave and 2 other repositories
Loading A graph representing mibaumgartner's contributions from March 31, 2024 to April 03, 2025. The contributions are 98% commits, 1% pull requests, 1% issues, 0% code review.

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April 2025

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