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Achievement: Pull Sharkx2

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stan-hua/README.md

Howdy! It's nice to see a new/familiar face around here 👋

{
    Name: "Stan",
    Location: "Berkeley, California",
    Job: "",
    Education: ("PhD Computational Precision Health @ UC Berkeley & UCSF", "BS Computer Science @ UofT"),
    Email: "stanley.z.hua@gmail.com",
}

🔭 I'm currently working on:
    - an incident reporting framework with applications to AI scribes
    - root cause analysis for performance shift in clinical ML
    - pediatric presence in public medical imaging datasets

🌱 I’m currently learning about:
    - (sequential) hypothesis testing theory

👯 I’m looking to collaborate on:
    - clinical AI monitoring/evaluation

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  1. CytoImageNet CytoImageNet Public

    A large-scale pretraining dataset for bioimage transfer learning

    Python 16 3

  2. view_hn view_hn Public

    Supervised Contrastive Learning for Improved View Labeling of Ultrasound Videos

    Python

  3. ped_vs_adults-cxr ped_vs_adults-cxr Public

    Data and code for paper `Lack of children in public medical imaging data points to growing age bias in biomedical AI`

    Python

  4. temporal_hydronephrosis temporal_hydronephrosis Public

    Video-based DL methods to classify a kidney condition in children, given kidney ultrasounds over time

    Python 3 1

  5. ultraml ultraml Public

    A simple package for ultrasound ML data preprocessing

    Python 2

  6. awesome-ml-monitoring awesome-ml-monitoring Public

    Forked from awesome-mlops/awesome-ml-monitoring

    A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀