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ahxmeds/README.md

πŸ‘‹ Hello, I'm Shadab!

🧠 About Me

  • πŸŽ“ Finishing my PhD in Physics at UBC, specializing in AI for Medical Imaging.
  • πŸ’» Experienced in deep learning, especially anomaly detection, generative modeling and inverse problems.
  • πŸ› οΈ Skilled in PyTorch, Python, and scientific computing.
  • 🌱 Currently working on multiscale modeling & weakly-supervised anomaly detection.

πŸ“¬ How to Reach Me

πŸ“Š Stats

Top Langs

GitHub Stats

🧠 Skills

  • Languages: Python, C++, MATLAB
  • Frameworks: PyTorch, MONAI
  • Fields: Deep Learning, Medical Imaging, Multiscale Modeling, Generative Models

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  1. IgCONDA-PET IgCONDA-PET Public

    Weakly-supervised PET anomaly detection using implicitly-guided attention-conditional counterfactual diffusion modeling.

    Python 2

  2. AttEn-DAWN-FM AttEn-DAWN-FM Public

    Attention-enhanced flow matching for data-aware and noise-informed solutions of inverse problems.

    Python 1

  3. magnetic-inversion-dictionary magnetic-inversion-dictionary Public

    Unrolled dictionary learning for recovering 3D distribution of magnetic susceptibility from Earth's magnetic subsurface data.

    Jupyter Notebook 1

  4. microsoft/lymphoma-segmentation-dnn microsoft/lymphoma-segmentation-dnn Public

    Python 15 3

  5. thyroidiomics thyroidiomics Public

    Classification of thyroid diseases from scintigraphy images using a two-step method: thyroid segmentation and disease classification using the extracted radiomics features from the segmented regions.

    Python 7 1

  6. PyTomography/PyTomography PyTomography/PyTomography Public

    This repository enables easy and fast medical image reconstruction in Python.

    Python 145 31