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  • KTH Royal Institute of Technology
  • Stockholm

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Astarakee/README.md
  • 👋 Hi, This is Mehdi Astaraki.

  • 👀 I am a postdoctoral researcher specializing in medical image processing and analysis. My research focuses on developing, evaluating, validating, and deploying rule-based, deep learning and machine learning models for applications in oncology, including diagnosis, prognosis, and treatment planning of brain tumors, lung tumors, bone metastases, head & neck cancers, and lymph node involvement. My methodological expertise lies in supervised learning, representation learning, active learning, and federated learning techniques, all applied to volumetric images such MRI, CT, and PET.

  • 📫 You can reach me via "[email protected]"

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  1. bone_anomaly bone_anomaly Public

    Python 1

  2. segrap2023 segrap2023 Public

    Codes of model wining the SegRap MICCAI challenge 2023.

    Python 5 1

  3. lidc lidc Public

    Python

  4. Radiomics_pipeline Radiomics_pipeline Public

    A comprehensive Radiomics pipeline for extracting, preprocessing, and analyzing oncological imaging biomarkers that can be used for benign-malignancy prediction, survival status prediction, and sim…

    Jupyter Notebook 6 4