MIC-DKFZ
Division of Medical Image Computing, German Cancer Research Center (DKFZ)
Heidelberg, Germany
Pinned Repositories
basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
HD-BET
MRI brain extraction tool
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
MedNeXt
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
nnDetection
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.
nnInteractive
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.
nnUNet
TractSeg
Automatic White Matter Bundle Segmentation
trixi
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 your tastes.
MIC-DKFZ's Repositories
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
MIC-DKFZ/MedNeXt
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
MIC-DKFZ/HD-BET
MRI brain extraction tool
MIC-DKFZ/basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
MIC-DKFZ/MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
MIC-DKFZ/niicat
This is a tool to quickly preview nifti images on the terminal
MIC-DKFZ/mood
Repository for the Medical Out-of-Distribution Analysis Challenge.
MIC-DKFZ/image_classification
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
MIC-DKFZ/ToothSeg
MIC-DKFZ/MedVol
MIC-DKFZ/autopet-3-submission
MIC-DKFZ/segmentation_failures_benchmark
MIC-DKFZ/MurineAirwaySegmentation
This is a joint project between Helmholtz Imaging (located at DKFZ) and Lin Yang and Otmar Schmid (Helmholtz Munich).
MIC-DKFZ/acvl_utils
MIC-DKFZ/Longitudinal-Difference-Weighting
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
MIC-DKFZ/miccai2024_autopet3_datacentric
MIC-DKFZ/agent-sam
Segment Anything model wrapper used by the Medical Imaging Interaction Toolkit (MITK).
MIC-DKFZ/ADetect
"Automated detection of aortic dissections (AD) from CT scans using deep segmentation and optimized thresholding. Applicable in emergency clinical settings, for research purposes only."
MIC-DKFZ/Foreground-and-Anonymization-Area-Segmentation
MIC-DKFZ/MatchPoint
MatchPoint is a translational image registration framework written in C++. It offers a standardized interface to utilize several registration algorithm resources (like ITK, plastimatch, elastix) easily in a host application.
MIC-DKFZ/napari-nifti
MIC-DKFZ/ssl3d
MIC-DKFZ/MedSAMCodingPowerUnit
MIC-DKFZ/napari-camera
MIC-DKFZ/napari-labels
MIC-DKFZ/predictive_image_biomarker_analysis
Code for the paper "Enhancing predictive imaging biomarker discovery through treatment effect analysis", which can be used for training and evaluating CATE estimation models for identifying predictive imaging biomarkers from pre-treatment images.
MIC-DKFZ/2D3D-Privacy-Attacks-In-federated-Medical-Imaging
MIC-DKFZ/iScience_GlioLymph_classification
MIC-DKFZ/mario
MIC-DKFZ/miccai2024_cl-detection2024