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Sdamirsa/README.md

Hi there This is Amir (Seyed Amir Ahmad Safavi-Naini, 👯 I would challenge you for the longest name ever), and I am doing my postdoc on developing ✨ AI/ML/DL/NN (or any other fancy abbreviation) solutions in gastroenterology practice at Research Institute for Gastroenterology and Liver Diseases. I coded in Python and R to do some whimsy works and finally get them published somewhere (isn't that the ultimate goal of a researcher?). I believe in open science, and I will not bury my data with me, I promise. I am interested in developing and deploying cross-modality models in clinicians' daily practice.

👨🏻‍💻 My Coding Experiences

💻 GitHub Profile Stats

Amir's Github Stats   sdamirsa
Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

🤝 Connect With Me

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  1. PanCanAID PanCanAID Public

    Pancreas Cancer AI-Driven Diagnosis in CT scan and EUS Imaging: A protocol for an Observational Multicentric Ambispective Study

    Jupyter Notebook

  2. Tehran_COVID_Cohort Tehran_COVID_Cohort Public

    Code for data extraction and analysis of a COVID project with 10,000 participants (COVID-19 inpatients)

    Python

  3. HappyTreeResearchFriends HappyTreeResearchFriends Public

    Here I will store some learning contents, learning pathways, and opportunities so that I can re-use them. Happy Tree Research Friends is a group that I started three years ago with my mentee and fr…

    4

  4. MedQA-BBY MedQA-BBY Public

    MedQA-but-better-yield (MedQA-BBY) is build on top of MedQA dataset but enriched with labels, as well as two correct options and one negative point option, and three 0 point options. The labels inc…

    Jupyter Notebook 5 8

  5. narimannr2x/Exminer narimannr2x/Exminer Public

    creating MCQs from your PDFs by leveraging LLMs.

    Python 1

  6. IBD-ICD IBD-ICD Public

    Forked from dorsa-al/IBD-ICD

    IBD-ICD (Inflammatory Bowel Disease Imaging and Clinical Data) is a curated repository containing medical images and associated clinical datasets for research and analysis in the field of IBD.