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@MIC-DKFZ

MIC-DKFZ

Division of Medical Image Computing, German Cancer Research Center (DKFZ)

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  1. nnUNet Public

    Python 6.5k 1.9k

  2. batchgenerators Public

    A framework for data augmentation for 2D and 3D image classification and segmentation

    Jupyter Notebook 1.1k 226

  3. trixi Public

    Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and you…

    Python 222 20

  4. TractSeg Public

    Automatic White Matter Bundle Segmentation

    Python 235 74

  5. basic_unet_example Public

    An example project of how to use a U-Net for segmentation on medical images with PyTorch.

    Python 145 40

  6. 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

Repositories

Showing 10 of 83 repositories
  • LongiSeg Public
    Python 8 Apache-2.0 0 0 0 Updated Apr 1, 2025
  • LesionLocator Public
    19 1 2 0 Updated Apr 1, 2025
  • Longitudinal-Difference-Weighting Public

    Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting

    Python 4 Apache-2.0 0 0 0 Updated Apr 1, 2025
  • nnUNet Public
    Python 6,519 Apache-2.0 1,908 280 (1 issue needs help) 25 Updated Apr 1, 2025
  • Python 3 Apache-2.0 2 0 0 Updated Mar 28, 2025
  • napari-labels Public
    Python 0 Apache-2.0 0 0 0 Updated Mar 28, 2025
  • napari-camera Public
    Python 0 Apache-2.0 0 0 0 Updated Mar 27, 2025
  • Python 61 Apache-2.0 10 5 2 Updated Mar 26, 2025
  • batchgenerators Public

    A framework for data augmentation for 2D and 3D image classification and segmentation

    Jupyter Notebook 1,126 Apache-2.0 226 39 12 Updated Mar 25, 2025
  • nnInteractive Public

    nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new standard in accuracy, usability, and adaptability for clinical and research applications.

    Python 93 Apache-2.0 10 2 0 Updated Mar 23, 2025