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  • Diagnostic Image Analysis Group, Radboudumc
  • Nijmegen, Netherlands
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LocPham263/README.md

Hi there 👋

👨‍💻 👨‍💻 👨‍💻 I'm a medical image analysis researcher with an ideology of bringing computer-based technological advancements into healthcare. Via this small git, I hope to share with you my recent research outcomes, which is mainly related to CT image registration and super-resolution. I would be very happy if you could find anything from this git helpful to your research. 🌱🌱🌱

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  1. CMAN CMAN Public

    This is the official source code for CMAN, a deep learning platform designed for the registration of large deformable CT images

    Python 5 1

  2. Super-Resolution-of-Lung-nCECT-Images-Using-CycleGAN Super-Resolution-of-Lung-nCECT-Images-Using-CycleGAN Public

    CycleGAN-based Super Resolution of Lung nCECT Images of COPD and Lung Cancer Patients

    Python 5

  3. 3D-Seedless-Region-Growing-for-RFA-Needle-Modeling 3D-Seedless-Region-Growing-for-RFA-Needle-Modeling Public

    Forked from thuanchu-99/rfa-segmentation

    Python 2

  4. Auto-LSF-Quantification-Using-CNN-based-segmentation-and-Elastix-based-registration Auto-LSF-Quantification-Using-CNN-based-segmentation-and-Elastix-based-registration Public

    Quantification of Liver-Lung Shunt Fraction on 3D SPECT/CT Images for Selective Internal Radiation Therapy of Liver Cancer Using CNN-Based Segmentations and Nonrigid Registration

    Python 2 1

  5. RegSegNet RegSegNet Public

    Accurate Lung Lobes Segmentation in nCECT Image of COPD and Lung Cancer Patients Using Cascaded CNN-based Segmentation and Deformable Registration

    2

  6. Fashion_recommender Fashion_recommender Public

    The Fashion_recommender (FR) system recommends similar items to the buyers based on the input item

    Jupyter Notebook 3