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1. ai-med/relaynet_pytorch ai-med/relaynet_pytorch Public

   Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

   Jupyter Notebook 88 30

2. ai-med/quickNAT_pytorch ai-med/quickNAT_pytorch Public

   PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

   Python 102 37

3. ai-med/squeeze_and_excitation ai-med/squeeze_and_excitation Public

   PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

   Python 316 52

4. ai-med/nn-common-modules ai-med/nn-common-modules Public

   Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

   Python 32 16

5. lmu-klinikum-demo lmu-klinikum-demo Public

   The website to showcase the research projects of AI Med Lab

   Python 2