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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 7k 2.1k

  2. batchgenerators Public

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

    Jupyter Notebook 1.1k 228

  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 21

  4. TractSeg Public

    Automatic White Matter Bundle Segmentation

    Python 243 73

  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 591 109

Repositories

Showing 10 of 94 repositories
  • Skeleton-Recall Public

    Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures

    Python 106 Apache-2.0 11 4 1 Updated Jul 11, 2025
  • Python 71 Apache-2.0 13 3 1 Updated Jul 11, 2025
  • Python 4 Apache-2.0 2 0 0 Updated Jul 11, 2025
  • nnssl Public
    Python 61 CC-BY-SA-4.0 11 3 4 Updated Jul 7, 2025
  • nnUNet Public
    Python 6,995 Apache-2.0 2,050 297 (1 issue needs help) 16 Updated Jul 3, 2025
  • ScribbleBench Public

    [MICCAI 2025] Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation

    Python 1 Apache-2.0 0 0 0 Updated Jul 2, 2025
  • BraTPRO Public
    Python 3 Apache-2.0 0 1 0 Updated Jul 1, 2025
  • LesionLocator Public

    LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.

    Python 55 GPL-3.0 3 3 0 Updated Jul 1, 2025
  • 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 were used to develop and evaluate the performance of the proposed method.

    Python 591 Apache-2.0 109 23 3 Updated Jun 26, 2025
  • 0 0 0 0 Updated Jun 26, 2025

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