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@ai-med

Lab for Artificial Intelligence in Medical Imaging

@AI_Medic

Pinned

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

    Jupyter Notebook 70 29

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

    Python 230 47

  3. Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

    MATLAB 56 14

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

    Python 80 31

  5. ReLayNet Public

    Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

    MATLAB 24 9

  6. Forked from Jfortin1/ComBatHarmonization

    Detect and correct bias in neuroimaging

    R 3 1

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