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kakumarabhishek/README.md

Welcome to my GitHub page 👋

I am Kumar Abhishek, a PhD student in the Medical Image Analysis Lab (MIAL) at Simon Fraser University.

  • 🔭 I am broadly interested in the application of deep learning for medical image analysis tasks, and specifically for dermatology. Please visit my homepage or my Google Scholar profile for a complete list of publications.
  • 👯 I’m looking to collaborate on deep learning-based skin image analysis projects and applications.
  • 📫 How to reach me: Please email me at kabhishe@sfu.ca.

Homepage Email Google Scholar ResearchGate LinkedIn Twitter GitHub

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  1. Illumination-based-Transformations-Skin-Lesion-Segmentation Illumination-based-Transformations-Skin-Lesion-Segmentation Public

    This is the code corresponding to our CVPR ISIC 2020 paper.

    Jupyter Notebook 14 11

  2. MCC-Loss MCC-Loss Public

    Matthews Correlation Coefficient Loss implementation for image segmentation.

    Jupyter Notebook 12 4

  3. sfu-mial/skin-lesion-segmentation-survey sfu-mial/skin-lesion-segmentation-survey Public

    4

  4. Mask2Lesion Mask2Lesion Public

    Code corresponding to our MICCAI SASHIMI 2019 paper on shape-constrained skin lesion image synthesis.

    2 1

  5. Corrected-Skin-Image-Datasets Corrected-Skin-Image-Datasets Public

    Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

    Jupyter Notebook 7

  6. sfu-mial/StyleSeg sfu-mial/StyleSeg Public

    [MICCAI ISIC 2024] Code for "Segmentation Style Discovery: Application to Skin Lesion Images"

    5