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  1. 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

  2. ai-med/relaynet_pytorch ai-med/relaynet_pytorch Public

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

    Jupyter Notebook 88 30

  3. 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 101 37

  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 15

  5. BayesianQuickNAT BayesianQuickNAT Public

    Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans

    MATLAB 9 4

  6. few-shot-segmentation few-shot-segmentation Public

    PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

    Python 105 15