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Lab for Artificial Intelligence in Medical Imaging


Pinned repositories

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

    Jupyter Notebook 65 29

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

    Python 199 41

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

    MATLAB 54 13

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

    Python 75 29

  5. 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 2